#  Executive Summary

The current deliverable is directly connected with the work performed under
the Task 7.4 “Standardization and concertation actions” and serves as the
initial plan for the collection, organization, storing and sharing of the
knowledge and data created within the project. The described data management
plan is based on several inputs, namely: a) the MyAirCoach Description of
Action (DOA) document, b) guidelines of the European Commission for the data
management of H2020 research projects, c) the outcomes of the plenary project
meetings and d) the input from several informal discussions among the project
consortium members.

The data management requirements and standardization guidelines specified in
this document are expected to form a reference manual to be used throughout
the project. In this way, MyAirCoach is aiming to develop a stable, reliable
and easy to use platform which will form an open repository for asthma
research and extend beyond the framework of the current project’s timeline.

Finally, it is important to underline that the current deliverable will be a
living document which will be continuously adapted depending on the needs of
the project research and development objectives, and based on the direct input
from members of the consortium and actual system users. This document is the
third updated and final version of the document adapted and extended to the
needs and requirements raised in the third year and the six months extension
period of the MyAirCoach project.

#  1 Introduction

The MyAirCoach project is aiming to support the research in the field of
personalized self-management of health and more specifically develop an
innovative solution for the effective and efficient management of asthma. In
this direction and based on the project’s description of work a number of
datasets are going to be collected and utilized for the support of both the
development and research tasks of the project. Therefore, it is considered of
fundamental importance to define the framework for the collection,
organization and sharing of such information in order to increase their long
term usability within the project partners but more importantly by the entire
research community.

Firstly, the current deliverable is aiming to provide concise summaries of the
types of datasets that are expected to be used during the project. These
datasets will form the basis for the design, development and testing of the
MyAirCoach system and in addition will be used for the academic research
activities foreseen by the consortium.

In the second part of the document important issues of the MyAirCoach Data
Management Plan (DMP) are discussed in order to outline the specific
requirements and guidelines that should be followed throughout the project’s
timeline.

The proposed plan was designed to allow the efficient dissemination of results
and the stimulation of research without jeopardizing any ethical requirements
of the project or decreasing the commercial value of the overall MyAirCoach
solution.

More specifically the MyAirCoach data management plan is aiming to:

  1. Outline the responsibilities for data protection and sharing within an ethical and legal framework. 

  

  2. Do not interfere with the protection of the intellectual property created by the project. 

  

  3. Support open access to the project’s research outcomes and scientific publications 

  

  4. Support the openness of data related to both the publications and the development processes of the project 

  

  5. Define a documentation framework for the annotation of the collected knowledge towards increased discoverability and validation 

  

  6. Allow the creation of an online platform that will support all the above functionalities 

  

  

Finally, the first version of the online MyAirCoach open portal is presented
with special focus on the access to open data by both registered and external
users. As the development tasks of the project will be evolved this platform
will be enhanced with additional functionalities regarding the data management
capabilities but also with additional datasets and links with data from other
external sources.

#  2 MyAirCoach Principles of Data Management

##  2.1 Data Management Requirements

In this section describes the requirements and principles that will form the
basis upon which the MyAirCoach data management plan has been defined. More
specifically the current deliverable has been based on the guidelines of the
EU Commission regarding the openness of the data generated from a project that
has been funded by the H2020 framework _** 1  ** _ . According to these
guidelines the scientifically-oriented data that are going to be generated by
the MyAirCoach project will be formed so that they can be easily
**discoverable** , **accessible** , **assessable** and **intelligible** ,
**usable** beyond the original purpose of their collection and usage but also
**interoperable** to appropriate quality standards.

Furthermore and due to the health oriented nature of the project two
additional but equally important attributes will be taken into account, the
**data security** and the **preservation of the participants’ privacy** . In
this direction, all the collected medical and sensitive data of patients will
be protected from any unauthorized access but also they will be carefully
anonymized in order to be shared through the proposed open data management
platform of the project.

In any case the publication of data should always conform to the ethical
guidelines of the MyAirCoach project as they were already defined in D8.5
“Ethics, Safety and mHealth Barriers Manual” deliverable.

##  2.2 EU Commission Guidelines for data management

The EU Commission has published some guidelines for appropriate data
management plans in Horizon 2020 projects. This guide is structured as a
series of questions that should be ideally clarified for all datasets produced
in any H2020 project. The following Table 9 presents the different aspects of
the questions along with a comment validating the conformance of the
MyAirCoach project to them.

**Table 1: EU Commission Data Management Plan Guidelines and Assurance of
MyAirCoach**

**Conformance**  
  
<table>  
<tr>  
<th>

**Aspect**

</th>  
<th>

</th>  
<th>

**Question**

</th> </tr>  
<tr>  
<td>

**Discoverable**

</td>  
<td>

</td>  
<td>

DMP question: are the data and associated software produced and/or used in the
project discoverable (and readily located), identifiable by means of a
standard identification mechanism (e.g. Digital Object Identifier)?

</td> </tr>  
<tr>  
<td>

**Accessible**

</td>  
<td>

</td>  
<td>

DMP question: are the data and associated software produced and/or used in the
project accessible and in what modalities, scope, licenses (e.g. licensing
framework for research and education, embargo periods, commercial
exploitation, etc.)?

</td> </tr>  
<tr>  
<td>

**Assessable intelligible**

</td>  
<td>

**and**

</td>  
<td>

DMP question: are the data and associated software produced and/or used in the
project assessable for and intelligible to third parties in contexts such as
scientific

</td> </tr>  
<tr>  
<td>

</td>  
<td>

scrutiny and peer review (e.g. are the minimal datasets handled together with
scientific papers for the purpose of peer review, are data is provided in a
way that judgments can be made about their reliability and the competence of
those who created them)?

</td> </tr>  
<tr>  
<td>

**Usable beyond the original purpose for which it was**

**collected**

</td>  
<td>

DMP question: are the data and associated software produced and/or used in the
project useable by third parties even long time after the collection of the
data (e.g. is the data safely stored in certified repositories for long term
preservation and curation; is it stored together with the minimum software,
metadata and documentation to make it useful; is the data useful for the wider
public needs and usable for the likely purposes of non-specialists)?

</td> </tr>  
<tr>  
<td>

**Interoperable to specific quality**

**standards**

</td>  
<td>

DMP question: are the data and associated software produced and/or used in the
project interoperable allowing data exchange between researchers,
institutions, organizations, countries, etc. (e.g. adhering to standards for
data annotation, data exchange, compliant with available software
applications, and allowing re-combinations with different datasets from
different origins)?

</td> </tr> </table>

##  2.3 Principles of medical information security

In order to adapt the requirements for openness of data without jeopardizing
the rights of the participating patients the principles for the security of
medical information (provided by the British Medical Association _** 2  ** _ )
were adopted as defined below:

**Table 2: Principles of medical information security**  
  
<table>  
<tr>  
<th>

**Principle**

</th>  
<th>

Description

</th> </tr>  
<tr>  
<td>

**Access control.**

</td>  
<td>

Each identifiable clinical record shall be marked with an access control list
naming the people or groups of people who may read it and append data to it.
The system shall prevent anyone not on the access control list from accessing
the record in any way.

</td> </tr>  
<tr>  
<td>

**Record opening**

</td>  
<td>

A clinician may open a record with herself and the patient on the access
control list. Where a patient has been referred, she may open a record with
herself, the patient and the referring clinician(s) on the access control
list.

</td> </tr>  
<tr>  
<td>

**Control**

</td>  
<td>

One of the clinicians on the access control list must be marked as being
responsible. Only she/he may alter the access control list, and she may only
add other health care professionals to it.

</td> </tr>  
<tr>  
<td>

**Consent and notification**

</td>  
<td>

The responsible clinician must notify the patient of the names on his record's
access control list when it is opened, of all subsequent additions, and
whenever responsibility is

</td> </tr>  
<tr>  
<td>

</td>  
<td>

transferred. Her/his consent must also be obtained, except in emergency or in
the case of statutory exemptions.

</td> </tr>  
<tr>  
<td>

**Persistence**

</td>  
<td>

No one shall have the ability to delete clinical information until the
appropriate time period has expired.

</td> </tr>  
<tr>  
<td>

**Attribution**

</td>  
<td>

All accesses to clinical records shall be marked on the record with the
subject's name, as well as the date and time. An audit trail must also be kept
of all deletions.

</td> </tr>  
<tr>  
<td>

**Information flow**

</td>  
<td>

Information derived from record A may be appended to record B if and only if
B's access control list is contained in A's.

</td> </tr>  
<tr>  
<td>

**Aggregation control**

</td>  
<td>

There shall be effective measures to prevent the aggregation of personal
health information. In particular, patients must receive special notification
if any person whom it is proposed to add to their access control list already
has access to personal health information on a large number of people.

</td> </tr>  
<tr>  
<td>

**Trusted Computing Base**

</td>  
<td>

Computer systems that handle personal health information shall have a
subsystem that enforces the above principles in an effective way. Its
effectiveness shall be subject to evaluation by independent experts.

</td> </tr> </table>

MyAirCoach followed a comprehensive strategy to protect and empower data
privacy before the final effect of GDPR  _**3** _ , _**4** _ . GDPR regulation
was established on May 25th, 2018, that is almost simultaneous to the end of
the project. Hence, due to the limited time, the MyAirCoach project couldn’t
fully adopt the regulation. On the other hand, CNET that is responsible for
data collection is a GDPR compliant organization. In consequence of that, all
patients’ data included in the project are fully protected based on GDPR data
privacy regulations.

##  2.4 Actors

An important step towards the accurate and relevant definition of the data
management plan is the identification of all related actors that may be
involved in the formation and usage of the project’s online open access
repository. The following Table 3 presents the actors of the MyAirCoach online
platform for accessing and uploading datasets. Each category has its own
distinctive characteristics that should be taken into consideration. The basic
actors are patients and health care professionals who are the ones directly
involved in the management and control of the asthma disease. Researchers
dealing with aspects of asthma are also included along with external users who
will include commercial entities such as health oriented technology providers
and entrepreneurs.

**Table 3: MyAirCoach open access actors**  
  
<table>  
<tr>  
<th>

**Actors**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

Patients

</td>  
<td>

People who have asthma and are subjects of clinicians’ care

</td> </tr>  
<tr>  
<td>

Patient families

</td>  
<td>

People in the close environment of patients who are given, by the patients,
the right to access their medical record

</td> </tr>  
<tr>  
<td>

Health care professional

</td>  
<td>

Doctors, nurses, trainers, administrative personnel having direct contact with
and responsibility for patients

</td> </tr>  
<tr>  
<td>

Researchers

</td>  
<td>

Research institutes, individual researchers, and in general people
investigating aspects of asthma

</td> </tr>  
<tr>  
<td>

External

</td>  
<td>

Third party users of MyAirCoach data for technology development purposes, such
as commercial entities and entrepreneurs

</td> </tr> </table>

##  2.5 Self-Audit Process

The Caldicott Report _** 5  ** _ will serve as a guideline for the self-audit
processes of the datasets produced within MyAirCoach. The Caldicott report
sets out a number of general principles that health and social care
organizations should use when reviewing their use of client information. The
report makes several recommendations, one of which is the appointment of
Caldicott guardians, i.e. members of staff with a responsibility to ensure
patient data is kept secure. It is now a requirement for every NHS
organization to have a Caldicott guardian.

Within myAirCoach project the ethical advisory board as well as the Advisory
Patient Forums will be in charge of the execution of the defined data
management plan and will act as a “Caldicott guardian” supervising the
compliance with legal and ethical issues in terms of information security,
data protection and ethical issues. Except the datasets produced by the
project, the users of the myAirCoach system will be able to upload their own
datasets. Thus, the existence of an auditing mechanism is deemed very critical
in order to avoid the publication of non-validated clinical data or data
collected from campaigns that do not comply with the ethical manual of the
MyAirCoach project.

**Figure : Self-Audit Process for MyAirCoach Datasets**

The steps of the Self-Audit process that will be implemented are summarized
below:

  * Self-Audit Planning o Plan and Set-up Self-Audit o Collect Relevant Documents 

  

  * Identification, Classification and Assessment of Datasets o Analyze Documents o Identify Data Sets o Classify Data Sets o Assess Data Sets 

  

  * Report of Results and Recommendations o Collate and analyze information from the audit 

  

o Report on the compliance with the Data Management Plan o Identify weaknesses
and decide on corrective actions

##  2.6 Risk Assessment

Data management is directly connected with issues of privacy and as such it
should be aiming to the efficient and early identification of risks and their
timely solution through appropriate strategies. Initially, the data objects
need to be categorized based on the identifying and sensitive information that
they contains in order to selected the appropriate mitigation strategies.
MyAirCoach will be using the Harvard Research Data Security Policy (HRDSP)
scale _** 6  ** _ for the characterization of the risks associated with the
privacy of participants.

After categorizing the data objects, the risks related to each category should
be determined. The risk analyses and mitigation strategies will be considered
separately for every dataset so that the finally publishable data are
categorized to Level 1.

**Table 4: Categorization of datasets in regards to privacy**  
  
<table>  
<tr>  
<th>

HRDSP

</th>  
<th>

Description

</th>  
<th>

MyAirCoach

publication rights

</th> </tr>  
<tr>  
<td>

**Level 1**

</td>  
<td>

De-identified research information about people and other non-confidential
research information

</td>  
<td>

Can be published on the open access

platform

</td> </tr>  
<tr>  
<td>

**Level 2**

</td>  
<td>

Benign information about individually identifiable people

</td>  
<td>

Can be shared within the consortium

</td> </tr>  
<tr>  
<td>

**Level 3**

</td>  
<td>

Sensitive information about individually identifiable people

</td>  
<td>

Can be shared within the consortium

</td> </tr>  
<tr>  
<td>

**Level 4**

</td>  
<td>

Very sensitive information about individually identifiable people

</td>  
<td>

Can be used by the responsible clinical partner only

</td> </tr>  
<tr>  
<td>

**Level 5**

</td>  
<td>

Extremely sensitive information about individually identifiable people

</td>  
<td>

Can be used by the responsible clinical partner only

</td> </tr> </table>

##  2.7 Context Categorization of Data

The research data that will be collected or generated during the project
lifecycle can be categorized in four groups regarding their context and the
informational weight. The Table 5 presents a summary of the categories
identified for the categorization of data collected within the MyAirCoach
project.

**Table 5: Context categorization of myAirCoach Data**  
  
<table>  
<tr>  
<th>

**Category**

</th>  
<th>

**Description**

</th>  
<th>

**Examples**

</th> </tr>  
<tr>  
<td>

Raw Collected Data

</td>  
<td>

Obtained data that has not been subjected to any quality assurance or control

</td>  
<td>

Measurements collected from sensors/devices (e.g. smart bracelets, sensor

</td> </tr>  
<tr>  
<td>

</td>  
<td>

</td>  
<td>

enhanced MyAirCoach

inhaler)

</td> </tr>  
<tr>  
<td>

Verified/Validate d Collected Data

</td>  
<td>

These are the raw data that has been evaluated for completeness, correctness,
and conformance/compliance of a specific data set against the standard
operating procedure (verified), as well as reviewed for specific analytic
quality (validated)

</td>  
<td>

Annotated sensor measurements, Images from patients’ tomographies, documents
from test campaigns, asthma action plans etc.

</td> </tr>  
<tr>  
<td>

Analyzed Collected Data

</td>  
<td>

Validated data are then analyzed, through statistical operations, based on a
specific target or application scenario

</td>  
<td>

Patient Models, assessments of inhaler usage, patients’ nutritional
assessments etc.

</td> </tr>  
<tr>  
<td>

Generated Data

</td>  
<td>

The data needed to validate the results presented in scientific publications
(pseudo-code, libraries, system design, , etc)

</td>  
<td>

Mutli-parametric indicators of asthma control, algorithmic approaches for the
detection of inhaler actuations, workflow for the deployment of User Centered
Design in mHealth applications.

</td> </tr> </table>

#  3 MyAirCoach Data Management Plan

The current chapter is aiming to provide a detailed description of all the
foreseen MyAirCoach datasets through the use of the template of DMP
established by the European Commission for Horizon 2020  1  . The definition
of all the related aspects of dataset categories (Table 6) indicates the
importance long term preservation of data and the requirement widest possible
sharing of the knowledge created by EU projects.

**Table 6: H2020 Template for Data Management Plan 1  **  
  
<table>  
<tr>  
<th>

**Aspect**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

**Data set reference and name**

</td>  
<td>

Identifier for the data set to be produced

</td> </tr>  
<tr>  
<td>

**Data set description**

</td>  
<td>

Description of the data that will be generated or collected, its origin (in
case it is collected), nature and scale and to whom it could be useful, and
whether it underpins a scientific publication. Information on the existence
(or not) of similar data and the possibilities for integration and reuse.

</td> </tr>  
<tr>  
<td>

**Standards and metadata**

</td>  
<td>

Reference to existing suitable standards of the discipline. If these do not
exist, an outline on how and what metadata will be created.

</td> </tr>  
<tr>  
<td>

**Data sharing**

</td>  
<td>

</td>  
<td>

Description of how data will be shared, including access procedures, embargo
periods (if any), outlines of technical mechanisms for dissemination and
necessary software and other tools for enabling re-use, and definition of
whether access will be widely open or restricted to specific groups.
Identification of the repository where data will be stored, if already
existing and identified, indicating in particular the type of repository
(institutional, standard repository for the discipline, etc.).

In case the dataset cannot be shared, the reasons for this should be mentioned
(e.g. ethical, rules of personal data, intellectual property, commercial,
privacy-related, security-related).

</td> </tr>  
<tr>  
<td>

**Archiving and preservation**

**(including storage and backup)**

</td>  
<td>

Description of the procedures that will be put in place for long-term
preservation of the data. Indication of how long the data should be preserved,
what is its approximated end volume, what the associated costs are and how
these are planned to be covered.

</td> </tr> </table>

In order to indicate the position of the datasets within the MyAirCoach and
describe their envisioned use toward the project objectives a number of fields
were introduced to the above template as indicated in Table 7

**Table 7: MyAirCoach additional aspects of Data Management**  
  
<table>  
<tr>  
<th>

**Aspect**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

**Relation to the objectives of MyAirCoach**

</td>  
<td>

This aspect is introduced in order to provide a summary on how the specific
dataset is going to be used within the project and how it is expected to
contribute for the successful delivery of the project objectives.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

List of all the related tasks and work packages of the project’s description
of work that are related to the specific type of data

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td>  
<td>

Description of any ethical requirements and suggestions for mitigation
strategies in the case of identified risks.

</td> </tr> </table>

In order to facilitate the easy use of the datasets through different
platforms and operation systems a naming scheme has been proposed for all
uploaded files. More specifically the following convention has been selected
for the purposes of MyAirCoach and for the files uploaded on the online open
access repository.  
  
<table>  
<tr>  
<th>

</th>  
<th>

_**“[Dataset prefix]_[ID]_[Date]_[Author].[ext]”** _

</th> </tr>  
<tr>  
<td>

_Dataset prefix_

</td>  
<td>

is the prefix of the specific type of dataset as identified in Table 8

</td> </tr>  
<tr>  
<td>

ID

</td>  
<td>

is the identification number as it is assigned by the online system

</td> </tr>  
<tr>  
<td>

_Date_

</td>  
<td>

is date of upload on the online system following the format: YYMMDD

</td> </tr>  
<tr>  
<td>

Author

</td>  
<td>

is the authors username

</td> </tr>  
<tr>  
<td>

ext

</td>  
<td>

is the file extension pertaining to the format used.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The selected names should not include spaces or symbols with the only
exception of the underscore

</td> </tr> </table>

Table 8 summarises the prefixes for the foreseen categories of MyAirCoach
datasets alongside a short description of the nature of the specified
datasets.

**Table 8: Naming Prefixes of Dataset Categories**  
  
<table>  
<tr>  
<th>

**No**

</th>  
<th>

**Naming Prefix**

</th>  
<th>

**Description**

</th> </tr>  
<tr>  
<td>

01

</td>  
<td>

_DS_InhalerUsage_

</td>  
<td>

Datasets related to inhaler usage measurements including both the time and
technique of use

</td> </tr>  
<tr>  
<td>

02

</td>  
<td>

_DS_Physiology_

</td>  
<td>

Datasets of physiology assessments including both sensor measurements and
doctor diagnosis and comments

</td> </tr>  
<tr>  
<td>

03

</td>  
<td>

_DS_PhysicalActivity_

</td>  
<td>

Datasets related to the lifestyle of asthma patients with special focus on
activity levels

</td> </tr>  
<tr>  
<td>

04

</td>  
<td>

_DS_Nutritional_

</td>  
<td>

Datasets containing information regarding nutritional aspects of asthma
patients

</td> </tr>  
<tr>  
<td>

05

</td>  
<td>

_DS_ExhaledNO_

</td>  
<td>

Datasets of Exhaled Nitric Oxide Measurements of asthma patients and healthy
subjects

</td> </tr>  
<tr>  
<td>

06

</td>  
<td>

_DS_Environmental_

</td>  
<td>

Datasets of Environmental Measurements

</td> </tr>  
<tr>  
<td>

07

</td>  
<td>

_DS_Tomography_

</td>  
<td>

Datasets of Patient Tomography of the Lungs

</td> </tr>  
<tr>  
<td>

08

</td>  
<td>

_DS_LungSimulationResults_

</td>  
<td>

Results from the simulation of lungs describing flow of air within the airways
and deposition of particles in the airway walls. Tables of numerical data and
analysis results

</td> </tr>  
<tr>  
<td>

09

</td>  
<td>

_DS_PatientModels_

</td>  
<td>

Datasets containing indicative patient models to be used for the multi-
parametric description of asthma

</td> </tr>  
<tr>  
<td>

10

</td>  
<td>

_DS_EducationAndTraining_

</td>  
<td>

Datasets of Educational and Training Content describing the disease of asthma
and the proper use of different types of inhalers

</td> </tr>  
<tr>  
<td>

11

</td>  
<td>

_DS_ActionPlans_

</td>  
<td>

Dataset of asthma action plans and medication strategies prescribed by doctors

</td> </tr>  
<tr>  
<td>

12

</td>  
<td>

_DS_UserRequirements_

</td>  
<td>

Datasets containing outcomes and information related to the assessment of user
requirements and feedback sessions within the UCD processes

</td> </tr>  
<tr>  
<td>

13

</td>  
<td>

_DS_TestCampaigns_

</td>  
<td>

Datasets collected during the Test Campaigns of the project categorized with
regards to the collection site.

</td> </tr> </table>

Indicative datasets generated within the myAirCoach project are available
online through the open access platform via the following link
_https://myaircoach.iti.gr:40001/myaircoach/app/#/opendata_ .  An indicative
set of Inhaler Usage Measurements is described in Appendix 2\.

##  3.1 Datasets of Inhaler Usage Measurements  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Dataset of Inhaler Usage Measurements

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

DS_InhalerUsage

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

The current type of dataset will include measurements and data collected in
regards to the use of inhaler by patients. More specifically, it is expected
to include sound and acceleration measurements from sensors attached on the
inhaler device.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

MyAirCoach is aiming to develop novel algorithmic approaches for the automatic
detection of inhaler actuations and the analysis of the technique of use.

It is therefore considered of fundamental importance to produce a dataset from
testing sessions which will be used not only for the training of machine
learning approaches but also the validation of results.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP3** Smart sensor based inhaler prototype and WBAN

**WP4** Computational models, intelligent information processing and DSS
module

**WP6** Evaluation

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Raw data will be collected by sensing elements attached on the inhaler
devices.

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

The annotation of collected data for the detection of actuation events and the
characterization of inhaler technique will be done by experienced researchers.

</th> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

The data of this category will be in the form of time series describing
measured parameters during the actual use of an inhaler.

CSV (Comma Separated Values) is the advised file format in this category since
it allows the easy use of the data both through programming languages and
spreadsheet software packages (e.g. Open Office Calc, Microsoft Excel). In
this case timestamps for every measurement or the sampling rate should be
defined.

For the specific case of sound measurements commonly used formats of sound
representation can be also considered with WAV being the advised option.

The annotation files are advised to be stored in the CSV format corresponding
to the actual time series of data or in XML format for the identification of
positioning of start and stop of events and user actions (e.g. breath-in,
inhaler actuation)

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets in this category can support research in the field of biomedical
signal processing and serve as a basis for the comparative validation of
different algorithmic approaches.

Furthermore, the current type of datasets can be used for the testing of the
accuracy of possible commercial products that rely on the same sensing
capabilities.

Finally, the annotation of the data as it relates to the technique of inhaler
use by patients can be used as indicators of common errors of patients while
using their inhaler.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

Unfortunately a very small number of publications are available in this field
of studies and they are mainly focusing on the understanding of Dry Powder
Inhalers (DPIs)  _**7** _ , _**8** _ , with only one identified exception of a
scientific article monitoring the use of Metered Dose Inhaler (MDI) _** 9  **
_

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The dataset will be accompanied by detailed documentation of its contents
along with metadata describing the demographics of the samples from which

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

the data were generated and detailed description of the data collection
process.

Indicative metadata include: (a) description of the experimental setup and
procedure that led to the generation of the dataset, (b) documentation of the
variables recorded in the dataset.

The metadata will be in a format that may be easily parsed with open source
software.

</th> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

No specific type of software required.

Required characteristics include reading capabilities of CSV and WAV files

</td> </tr>  
<tr>  
<td>

_**Repository where data will** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the

</td> </tr>  
<tr>  
<td>

_**be stored (institutional, etc., if already existing and identified)** _

</td>  
<td>

MyAirCoach project, as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

Sounds measurements should be carefully reviewed and delete any sections were
participants speak and reveal important aspects of their way of life or
identify them.

</td> </tr> </table>

##  3.2 Datasets of Physiology Assessments  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Dataset of Physiology Assessments

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_Physiology_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

The current type of dataset will cover include different types of
physiological measurements collected within the project, such as wearable
smart sensors that can collect data such as heart rate or respiratory rate.
Furthermore, this category will also include the physiological assessments
done in the healthcare environment by trained practitioners (especially all
assessment done in the project test and evaluation campaigns)

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project**

</td>  
<td>

MyAirCoach is aiming to propose a novel modelling

</td> </tr> </table>  
<table>  
<tr>  
<th>

**objective**

</th>  
<th>

approach for the personalized and the overall understanding of asthma disease.
It is therefore, of crucial importance to collect an adequate amount of data
in order to define a modelling framework that will effectively cover the most
important aspects of the disease.

Furthermore, the MyAirCoach project is aiming to develop decision support
tools and risk prediction functionalities that will be based on the
physiological condition of the patient. In this regards, the collected data
will be used for the training and the validation of the algorithmic approaches
that will allow such functionalities.

</th> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test Campaigns, measurements and clinical analysis

**WP4** Computational models, intelligent information processing and DSS
module

**WP6** Evaluation

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Patients’ physiology assessments can be assessed either manually by the
corresponding doctors based on medical examinations or automatically by the
myAirCoach system based on the analysis of health data extracted by utilized
sensors.

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

Data will be represented based on the openEHR framework, using the available
archetypes when possible or developing new types of archetypes when it is
required.

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets in this category can support research in the field of medical
decision support and can form the basis for the comparative validation of
different algorithmic approaches.

Furthermore the aggregated data can be used for the validation or comparison
of commercial medical decision support tools

Finally, the current type of datasets can be used for the development of
alternative modelling approaches of asthma disease of be used for the
extension of the project outcomes to other respiratory medical issues.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Indicative scientific**

</td>  
<td>

Although a variety of scientific publications are available on the study of
physiological parameters in regards to

</td> </tr> </table>  
<table>  
<tr>  
<th>

**publications**

</th>  
<th>

asthma, a unified approach for the use of the diverse information of
electronic medical records as envisioned by the MyAirCoach project has not
been identified.

</th> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The dataset will be accompanied by detailed documentation of its contents
along with metadata describing the demographics of the samples from which the
data were generated and detailed description of the data collection process.

Indicative metadata include: (a) description of the experimental setup and
procedure that led to the generation of the dataset, (b) documentation of the
variables recorded in the dataset.

The metadata will be in a format that may be easily parsed with open source
software.

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

The openEHR open standard specification for health informatics describing the
management, storage, retrieval and exchange of health data in electronic
health records (EHRs) _** 10  ** _ .

OpenEHR is currently identified as the main data representation framework to
be followed by MyAirCoach system

The HL7 framework (and related standards) for the exchange, integration,
sharing, and retrieval of electronic health information _** 11  ** _

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication.

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

the consortium through the wiki page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</th> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

The data will be only accessible through the use of software components and
products that support openEHR  10  
</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.3 Datasets of Lifestyle Assessment  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Dataset of Nutritional Assessments

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_PhysicalActivity_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

The current type of dataset will cover include different types of assessments
and data related to the lifestyle behavior and activity levels of patients as
they will be collected within the project during the measurement campaigns and
also through the sensing devices of used by the project (i.e. smart health
bracelets or smartphones)

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

MyAirCoach will try to contribute to the effects of the lifestyle of patients
and especially their activity levels on the asthma condition and outline
significant correlations that may help doctors to better help their patients
and medical researchers to understand the condition of asthma though a mutli-
parametric view.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test Campaigns, measurements and clinical analysis

**WP4** Computational models, intelligent information processing and DSS
module

**WP6** Evaluation

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Patients activity levels can be produced either manually by the corresponding
doctors based on specialized questionnaires or automatically by the myAirCoach
system based on the analysis of health data extracted by utilized sensors.

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

The current type of dataset will include responses to questionnaires as they
will be used in the measurement campaigns or though the final version of the
MyAirCoach system.

In addition the current category may include measurements of activity as they
will be assessed by the sensing devices of the project namely: smart health
bracelets and smartphone sensors

</td> </tr>  
<tr>  
<td>

**Use by researchers and**

</td>  
<td>

The current dataset will help medical researchers to

</td> </tr> </table>  
<table>  
<tr>  
<th>

**healthcare professionals**

</th>  
<th>

identify correlation between the activity level of patients and the risk of
asthma exacerbations.

Furthermore, the collected data can be used for the validation and comparison
of algorithmic approaches studying the activity levels of people through the
use of acceleration measurements of modern smart devices.

</th> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The dataset will be accompanied with detailed documentation of its contents
and of all the parameters and selected procedures during the deployment of the
campaigns or the characteristics of the sensors used for their assessment
through sensing devices.

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

No existing standards identified

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication.

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

The data will be only accessible through the use of software components and
products that support openEHR  10  
</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.4 Datasets of Nutritional Assessments  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Dataset of Nutritional Assessments

</th> </tr> </table>  
<table>  
<tr>  
<th>

**Naming Prefix**

</th>  
<th>

_DS_Nutritional_

</th> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

The current type of dataset will cover include different types of assessments
related to the nutritional habits of asthma patients as they will be collected
within the project (e.g questionnaires).

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

MyAirCoach will try to contribute to the understanding of the nutritional
habits of asthma patients in the evolution of their disease and outline
significant correlations that may help doctors to better help their patients
and medical researchers to understand the condition of asthma though a mutli-
parametric view.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test Campaigns, measurements and clinical analysis

**WP6** Evaluation

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Data collected and conclusions drawn from the measurements campaigns of the
project.

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

The current category of datasets will include mainly anonymized responses to
questionnaires as they will be used in the measurement campaigns or assessed
through the MyAirCoach final system

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets of this category are aiming to become a useful component for the
study of asthma condition by medical researchers and hopefully be extended by
the input of other projects in the field of asthma related research.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The dataset will be accompanied with detailed documentation of its contents
and of all the parameters and selected procedures during the deployment of the
campaigns

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

No existing standards identified

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

Members and only after its careful anonymization. Personal information
regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication.

</th> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

The data will be only accessible through the use of software components and
products that support openEHR  10  
</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.5 Datasets of Exhaled Nitric Oxide Measurements  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Dataset of Exhaled Nitric Oxide Measurements

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_ExhaledNO_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

The current type of dataset will include measurements and data collected in
regards to the concentration of Nitric Oxide (NO) in the exhaled breath of
patients. In the framework of the MyAirCoach project exhaled NO will be
measured by the NIOX device developed by AEROCRINE.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

Measurement of fractional nitric oxide (NO) concentration in exhaled breath
(FeNO) is a quantitative, non-invasive, simple, and safe method of measuring
airway inflammation that provides a complementary tool to other ways of
assessing airways disease, including asthma _** 12  ** _ .

There are various devices used for measuring the amount of FeNO in the breath.
The National Institute for Health and Care (NICE) has assessed 3 devices
including NIOX device of AEROCRINE _** 13  ** _

The MyAirCoach project is aiming to analyze the FeNO measurements of patients
for the better understanding of their asthma condition, the personalization of
medication approaches and the prediction of dangerous exacerbation incidents.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test campaigns, measurements, clinical analysis

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

**WP3** Smart sensor based inhaler prototype and WBAN

**WP4** Computational models, intelligent information processing and DSS
module

**WP6** Evaluation

</th> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Raw data will be collected by NIOX devices of AEROCRINE

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

The data of this category will be in the form of time series describing
measured parameters during the exhalation of patients

CSV (Comma Separated Values) is the advised file format in this category since
it allows the easy use of the data both through programming languages and
spreadsheet software packages (e.g. Open Office Calc, Microsoft Excel). In
this case timestamps for every measurement or the sampling rate should be
defined.

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets in this category can support research in the field of biomedical
signal processing and serve as a basis for the comparative validation of
different algorithmic approaches for the analysis of FeNo measurements

Furthermore, and if the collected data cover an adequate number of patients
with accurately assessed levels of asthma control, the analysis of FeNO
measurements can reveal important asthma indicators.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

National Health and Nutrition Examination Survey _** 14  ** _

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

Exhaled Nitric Oxide For The Diagnosis Of Asthma In Adults And Children: A
Systematic Review _** 15  ** _

Exhaled nitric oxide levels to guide treatment for adults with asthma _** 16
** _

Exhaled nitric oxide levels to guide treatment for children with asthma _** 17
** _

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The dataset will be accompanied by detailed documentation of its contents
along with metadata describing the demographics of the samples from which the
data were generated and detailed description of the data collection process.

Indicative metadata include: (a) description of the experimental setup and
procedure that led to the generation of the dataset, (b) documentation of the

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

variables recorded in the dataset.

The metadata will be in a format that may be easily parsed with open source
software.

</th> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication.

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

No specific type of software required.

Required characteristics include reading capabilities of CSV

</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

</td> </tr> </table>

##  3.6 Datasets of Environmental Measurements  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Datasets of Environmental Measurements

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_Environmental_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

The current type of datasets will cover the assessment of environment
parameters such as air temperature and humidity and also levels of pollution
and concentration of common asthma irritants when possible.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

Asthma is a multi-parametric condition that is being affected significantly by
the conditions in the environment of patients. In order to corer this usually
neglected view of asthma disease, MyAirCoach project is aiming to use the
collected measurements from the environment of patients in order to outline
important indicators of asthma attacks and contribute to the avoidance of such
harmful incidents by warning the patients and suggesting mitigation actions.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test campaigns, measurements, clinical analysis

**WP3** Smart sensor based inhaler prototype and WBAN

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

**WP4** Computational models, intelligent information processing and DSS
module

**WP6** Evaluation

</th> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Raw data will be collected online resources of environmental conditions and
sensing components of the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

The data of this category will be in the form of time series describing the
conditions in the patients environment, or in a specific location.

CSV (Comma Separated Values) is the advised file format in this category since
it allows the easy use of the data both through programming languages and
spreadsheet software packages (e.g. Open Office Calc, Microsoft Excel). In
this case timestamps for every measurement or the sampling rate should be
defined.

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets in this category can support research in the field of biomedical
signal processing as they hold the promise to correlate clinical indicators of
asthma attacks with environmental parameters.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

London Air Quality Network – King’s College London _** 18  ** _

Air Quality – The City of London _** 19  ** _

Air quality information and campaigns – Manchester City Council _** 20  ** _

GreatAir Manchester – The air quality website for the Greater Manchester
region _** 21  ** _

Weather data for research and projects – University of Reading _** 22  ** _

Historical monthly open data for UK meteorological stations – Met Office _**
23  ** _

UK Humidity open datasets _** 24  ** _

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

Effect Of Atmospheric Conditions On Asthma Control And Gene Expression In The
Airway _** 25  ** _

Synoptic weather types and aeroallergens modify the effect of air pollution on
hospitalizations for asthma hospitalizations in Canadian cities _** 26  ** _

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The dataset will be accompanied by detailed documentation of its contents
along with metadata describing the demographics of the samples from which the
data were

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

generated and detailed description of the data collection process.

Indicative metadata include: (a) description of the experimental setup and
procedure that led to the generation of the dataset, (b) documentation of the
variables recorded in the dataset.

The metadata will be in a format that may be easily parsed with open source
software.

</th> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication.

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for** _

_**enabling re-use** _

</td>  
<td>

No specific type of software required.

Required characteristics include reading capabilities of CSV

</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored** _

_**(institutional, etc., if** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the

MyAirCoach project, as well as at an Open Data Platform of

</td> </tr>  
<tr>  
<td>

_**already existing and identified)** _

</td>  
<td>

the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

_**Approximated end** _

**_volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for covering the above** _

**_costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

In the case that the data are related with a patient and not with a specific
geographic location, they should be anonymized carefully

</td> </tr> </table>

##  3.7 Datasets of Patient Tomography  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Datasets of Patient Tomography

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_Tomography_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

A dataset of patient lung/chest tomographies will be collected and utilized
within the MyAirCoach project in order to support the understanding and
prediction of asthma condition of patients. Images resulting from modalities
such as Computed Tomography (CT) will be used to the understanding of
important asthma related parameters and will serve as a basis for the
simulation of airflows within the lung airways.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

The MyAirCoach project is aiming to utilize Computational Fluid Dynamics and
Fluid Particle Tracing for the understanding of the flow of inhaled medication
and

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

irritant particles inside the airways of the patient lungs. In this direction
the availability or realistic geometric models of human lungs will be of
fundamental importance in order to reach realistic results.

</th> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test Campaigns, measurements and clinical analysis

**WP4** Computational models, intelligent information processing and DSS
module

**WP6** Evaluation

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

There are three types of patient tomographies used for asthma: Computed
Tomography (CT), Positron Emission Tomography (PET) and Magnetic Resonance
Imaging

(MRI).

**Computed tomography (CT)** scan provides a high degree of anatomical detail
and has been used in the diagnosis of various airway diseases. **High
resolution computed tomography (HRCT)** is a special type of CT which allows
visualization of airways and parenchyma in much greater detail than
conventional CT or plain radiography. In asthma it is very useful particularly
when it is difficult to achieve an effective control of disease, and in severe
deterioration. **Positron Emission Tomography (PET)** can be also used in
asthma diagnosis and especially in the assessment of lung inflammation in
patients with atopic asthma,. **Chest Magnetic Resonance Imaging (MRI)** is a
more safe and non-invasive method providing even higher resolution than the
previously mentioned tomography approaches.

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

Patient tomographies are actually images of patients’ lungs or chest and will
be in DICOM (Digital Imaging and Communications in Medicine) format providing
the capability to share medical images easily and quickly.

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets in this category can support research in the field of medical
image processing and extraction of lung geometry and can form the basis for
the comparative validation of different algorithmic approaches.

Furthermore, the current type of datasets can be used for the extraction of
significant asthma indicators that are based on the geometry of the lungs, and
therefore contribute to the enhancement of modelling approaches and the
medical research of asthma.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar**

</td>  
<td>

Open-Access Medical Image Repositories _** 27  ** _

</td> </tr> </table>  
<table>  
<tr>  
<th>

**dataset**

</th>  
<th>

Public Medical Image Databases – Cornell University _** 28  ** _

DICOM sample image sets _** 29  ** _

MRI and CT Data from The Visible Human Project _** 30  ** _

Bone and Joint CT-SCAN Data – International Society of Biomechanics _** 31  **
_

Sample DICOM Data - TRIPOD _** 32  ** _

</th> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

Although a variety of scientific publications are available for the
application of novel image processing approaches on tomographic data and the
extraction of the geometry of the airways

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

The dataset will follow the DICOM standard _** 33  ** _

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication.

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

Anonymized DICOM images will also considered to be made publicly available
through the DICOM Library _** 34  ** _ .

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

</td> </tr>  
<tr>  
<td>

</td>  
<td>

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

The data will be only accessible through the use of software components and
products that support openEHR  10  
</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.8 Lung simulation Results and Related Analysis  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Lung Simulation results and related analysis

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_Lung Simulation Results_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

Results from the simulation of lungs describing flow of air within the airways
and deposition of particles in the

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

airway walls. Tables of numerical data and analysis results

</th> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

. One of the fundamental objectives of the MyAirCoach project is the
understanding of the breathing process of asthma patients and the underlining
of statistical significant differences with healthy subjects. In this
direction the outcomes and simulation results of these processes will be
published under the MyAirCoach open data repository so as to be used by the
research medical community and stimulate more efforts in the same direction.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test Campaigns, measurements and clinical analysis

**WP4** Computational models, intelligent information processing and DSS
module

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Simulation outcomes from the lung modeling within the tasks of WP4

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

Videos of particle tracing analysis and image visualizations of air dynamics
within lung airways

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets of this category are aiming to become a useful component for the
understanding of the breathing process of asthma patients and the study of the
differentiating factors in the geometry of the airways that may increase the
possibility of an asthma attack due to increased density of deposited
particles

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

Results included in scientific publication do not provide the adequate level
of detail, and usually full raw data results are excluded due to space
limitations. Furthermore, the have not been identified any online available
videos of particle tracing, except sporadic dissemination articles containing
videos.

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

There have not been identified any aggregated online available resource in
this category

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

The dataset will be accompanied with detailed documentation of the selected
simulation parameters as well as analysis results and conclusions. The data
will be also accompanied with a link to the open document of any publications
that are related to these results

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Access type**

</th>  
<th>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication.

</th> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the data sharing, and as soon it reaches an anonymized
formed, it will be shared among the consortium through the wiki page of the
project.

For the second stage of data publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

Any type of video and image viewing software. Spreadsheet editing software may
be required when analysis results are also attached

</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The private part of the dataset (i.e. connection of lung model with actual
patient) will be preserved by responsible MyAirCoach partner at least until
the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.9 Datasets of MyAirCoach Patient Models  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Datasets of MyAirCoach Patient Models

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_PatientModels_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

The current type of dataset will cover the generalized patient models produced
in the project’s framework and which will be designed based on the results of
measurement campaigns.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

One of the main objectives of MyAirCoach is the development of a personalized
and accurate approach for the modelling of asthma condition of patients.
Parallel to this goal, generalized patients models will be created so as to
help medical researchers to study the disease of asthma through combination of
asthma patients behavioural pattern and computational simulation approaches.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test Campaigns, measurements and clinical analysis

**WP4** Computational models, intelligent information processing and DSS
module

**WP6** Evaluation

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Description of Dataset Category**

</th> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Generalize models of asthma patients will be created within the MyAirCoach
project as they are described in T4.1 “Patient modelling and formal
representation”, T4.3 “Multiscale computational modeling of airways and
respiratory system” and based on the outcomes of WP2

“Test campaigns, measurements and clinical analysis”

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

The dataset could be in the form of XML-based representations of the
parameters involved in the myAirCoach Virtual Models, in OWL or UsiXML.
Furthermore the clinical component of the models could be based on the format
of electronic health records such as the openEHR framework.

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets of this category are aiming to become a useful component for the
study of asthma condition by medical researchers on the basis of computational
approaches and simulation.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

The dataset will be accompanied with detailed documentation of its contents
and of all the variables involved in the myAirCoach Patient Models.

Guidelines for Virtual Human Modelling derived from the VUMS cluster and the
Veritas Project _** 35  ** _ will be used, along with related XSD and XML
specifications. The adoption and extension of the existing representation
format (OWL or UsiXML) developed in the context of the VERITAS project will be
also investigated.

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

of the MyAirCoach project. The inclusion of a subject’s data in the public
part of this dataset will be done on the basis of appropriate informed consent
to data publication.

</th> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

The data will be only accessible through the use of software components and
products that support XML based data representations

</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.10 Dataset of Educational and Training Content  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Datasets of Educational and Training Content

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_EducationAndTraining_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

Material related to the education of patients regarding asthma disease its
pathophysiology, symptoms, risk factors and indicators

Material related to the training of patients regarding the proper use of
different types of inhalers.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

A very important parameter for increased involvement of asthma patients in the
management of their disease is their understanding of its fundamental nature
and the ability to detect and interpret correctly symptoms of reduce control.

Furthermore, the efficient training of patients regarding the proper use of
their inhaler is expected to increase their adherence to the prescribed
medication and help them optimize their inhaler technique.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP1 User Needs, system requirements , architecture**

**WP2** Test Campaigns, measurements and clinical analysis

**WP6** Evaluation

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

A dataset of educational and training content will be generated during the
myAirCoach project lifecycle in order to support patients and clinicians in
better asthma management. Registered users of the myAirCoach will also have
the capability to upload similar content following the established template.

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

Educational content will include information about the asthma disease, such as
associated risks, allergens,

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

physiology etc. Training content will include multimedia data concerning the
proper management and treatment of the disease (e.g. proper use of the
inhaler). Data can be in the form of documents, pdf files, videos, images,
presentations etc.

</th> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The material concentrated under the current category will be useful for
patients, doctors, clinicians, Institutes of Health, as well as for
researchers investigating issues related to asthma so as to help their
patients to effectively manage asthma disease and correctly use their
medication.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

Asthma Handouts – Sutter Health _** 36  ** _

Asthma Education Materials – Neighborhood Health

Plan _** 37  ** _

Instructions for Inhaler and Spacer Use _** 38  ** _

Inhalation protocols _** 39  ** _

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

The dataset will be accompanied with detailed documentation of its contents.
Existing common formats for documents, pdf files, videos, images and
presentations will be utilized (e.g. pdf, doc, png).

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

Widely open to the entire asthma community

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

Open access within the MyAirCoach website and the open data platform of the
MyAirCoach System

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

The dataset will be designed to allow easy reuse with commonly available tools
and software libraries (e.g. Microsoft Office, Open Office, Adobe Reader, …)

</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing** _

</td>  
<td>

The dataset will be accommodated at the project’s website and wiki, as well as
at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

_**and identified)** _

</td>  
<td>

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.11 Dataset of Asthma Action Plans  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Datasets of Asthma Action Plans

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_ActionPlans_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

This dataset will include templates of action plans and will be used not only
for the design and development of the related electronically enhanced action
plans of MyAirCoach but also serve as a repository for practitioners to use in
their clinical practice.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

Action plans are the main tool for the definition of the methodology that a
patient should follow for the effective management of his/her asthma disease.
The asthma action plan shows patient’s daily treatment, such as what kind of
medicines to take and when to take them. It also describes how to control
asthma long term and how to

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

handle worsening asthma, or attacks. Moreover, the plan explains when to call
the doctor or go to the emergency room. Asthma action plan are actually
documents.

Traditionally, provided in paper form action plans are based on a variety of
templates related to the choice of the doctors towards their easy
understanding by patients.

</th> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test Campaigns, measurements and clinical analysis

**WP4** Computational models, intelligent information processing and DSS
module

**WP6** Evaluation

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Templates of action plans will be collected during the measurement campaigns
of the project and also from online resources towards the formation of a
unified repository that will cover different medication approaches and also
different languages.

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

Electronic documents of action plans or detailed description of interactive
electronically enhanced approaches (doc/docx or pdf files)

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The current dataset can be used by healthcare professionals in order to review
a spectrum of action plan templates and provide their prescribed medication
regiment using the most fitted template to the needs of the specific patient.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

There is no widely accepted template for asthma action plans. In this regard
the MyAirCoach project is aiming to document the available approaches and
provide a detailed review comparing their strengths and weaknesses. Although
this review will serve as the guideline for the design of the related
MyAirCoach components, it is also expected to help healthcare professionals in
their daily practice.

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

Widely open to the entire asthma community

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

Open access within the MyAirCoach website and the open

</td> </tr>  
<tr>  
<td>

</td>  
<td>

data platform of the MyAirCoach System

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

The dataset will be designed to allow easy reuse with commonly available tools
and software libraries (e.g. Microsoft Office, Open Office, Adobe Reader, …)

</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the project’s website and wiki, as well as
at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.12 Datasets of Collected User Requirements  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Datasets of MyAIrCoach Measurement Campaigns

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_UserRequirements_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

The design and implementation of the MyAirCoach system will be based on the
collection and the analysis of user requirements so as to increase the
usability and usefulness of the final system. The collected requirements, user
inputs and analysis results can be a valuable asset for the development of
devices and software systems supporting the self-management of asthma.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

The development of the MyAirCoach system will be based on a User Centered
Approach that has begun with the initial collection of user requirements and
will continue throughout project.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

Related to the entire project

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr>  
<tr>  
<td>

**Origin of Data**

</td>  
<td>

Data collected and conclusions drawn from the User Centered Design approach of
the project.

</td> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

The current category may include all previously defined types of datasets of
user feedback as they will be assessed during the UCD processes defined in
D1.2 “User Requirements, use cases, UCD methodology and final protocols for
evaluation studies”

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets of this category are aiming to become a useful component for the
development of asthma oriented self-management software tools and devices

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

The dataset will be accompanied with detailed documentation of its contents
and of all the parameters and selected procedures during the deployment of
userfeedback collection sessions

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the

</td> </tr> </table>  
<table>  
<tr>  
<th>

</th>  
<th>

dataset will be initially available to the Consortium Members and only after
its careful anonymization. Personal information regarding the participants
will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication

</th> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to use them
for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

Dependent on the dataset as it will be defined during the deployment of
measurement campaigns and the practice of the responsible clinical partner.

</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

##  3.13 Datasets of MyAirCoach Measurement Campaigns  
  
<table>  
<tr>  
<th>

**Name**

</th>  
<th>

Datasets of MyAIrCoach Measurement Campaigns

</th> </tr>  
<tr>  
<td>

**Naming Prefix**

</td>  
<td>

_DS_MeasurementCampaigns_

</td> </tr>  
<tr>  
<td>

**Summary**

</td>  
<td>

In the context of the project, two measurement campaigns are scheduled for the
initial clinical analysis of asthma condition and the evaluation and
optimization of the integrated MyAirCoach system. Three different pilot sites
in Europe (London, Manchester, Leiden) will participate in these processes and
help for the collection of important data and conclusions regarding asthma
management and the related parts of the healthcare system.

The current collection of datasets is intended to collect the produced results
in a common reference framework and help for the easy access and future
reference.

</td> </tr>  
<tr>  
<td>

**Positioning within the MyAirCoach project**

</td> </tr>  
<tr>  
<td>

**Relation to the project objective**

</td>  
<td>

The measurement campaigns of the MyAirCoach project will form the information
basis for the design and development of the majority of envisioned system
components and also for the validation of the overall usefulness of the final
integrated version of MyAirCoach.

</td> </tr>  
<tr>  
<td>

**Related Work Packages**

</td>  
<td>

**WP2** Test Campaigns, measurements and clinical analysis

**WP6** Evaluation

</td> </tr>  
<tr>  
<td>

**Description of Dataset Category**

</td> </tr> </table>  
<table>  
<tr>  
<th>

**Origin of Data**

</th>  
<th>

Data collected and conclusions drawn from the measurements campaigns of the
project.

</th> </tr>  
<tr>  
<td>

**Nature and scale of data**

</td>  
<td>

The current category may include all previously defined types of datasets in
addition to documents or any other types of data collected by the clinical
partners in during the campaigns.

</td> </tr>  
<tr>  
<td>

**Use by researchers and healthcare professionals**

</td>  
<td>

The datasets of this category are aiming to become a useful component for the
study of asthma condition by medical researchers and hopefully be extended by
the input of other projects in the field of asthma related research.

</td> </tr>  
<tr>  
<td>

**Indicative existing similar dataset**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Indicative scientific publications**

</td>  
<td>

There have not been identified any online available datasets in this category
and for any method of sensing.

</td> </tr>  
<tr>  
<td>

**Standards and Metadata**

</td> </tr>  
<tr>  
<td>

**Existing suitable standards**

</td>  
<td>

The dataset will be accompanied with detailed documentation of its contents
and of all the parameters and selected procedures during the deployment of the
campaigns

</td> </tr>  
<tr>  
<td>

**Data Sharing**

</td> </tr>  
<tr>  
<td>

**Access type**

</td>  
<td>

In accordance with the ethical and legal requirements regarding data obtained
from human participants, the dataset will be initially available to the
Consortium Members and only after its careful anonymization. Personal
information regarding the participants will be kept strictly private.

As the project progresses and the collected data are used for the research and
development processes of the project they will become available at the
projects open data platform after the approval by the ethics committee of the
MyAirCoach project. The inclusion of a subject’s data in the public part of
this dataset will be done on the basis of appropriate informed consent to data
publication.

</td> </tr>  
<tr>  
<td>

**Access procedure**

</td>  
<td>

In the first stages of the dataset sharing, and as soon it reaches an
anonymized formed, it will be shared among the consortium through the wiki
page of the project.

For the second stage of dataset publication, the anonymized data will be
published through the open data platform of the project in order to be used by
registered users and subsequently by any interested party aiming to

</td> </tr>  
<tr>  
<td>

</td>  
<td>

use them for research and development.

</td> </tr>  
<tr>  
<td>

_**Embargo periods (if any)** _

</td>  
<td>

No preset embargo periods.

Selection of the appropriate time of publication based on the research and
development timeline of the project, the protection of intellectual property
and the proper

safeguarding of the privacy of participants

</td> </tr>  
<tr>  
<td>

_**Technical mechanisms for dissemination** _

</td>  
<td>

The public part of the datasets in this category will be accessible through
the projects open data platform.

</td> </tr>  
<tr>  
<td>

_**Necessary S/W and other tools for enabling re-use** _

</td>  
<td>

Dependent on the dataset as it will be defined during the deployment of
measurement campaigns and the practice of the responsible clinical partner.

</td> </tr>  
<tr>  
<td>

_**Repository where data will be stored (institutional, etc., if already
existing and identified)** _

</td>  
<td>

The dataset will be accommodated at the wiki page of the MyAirCoach project,
as well as at an Open Data Platform of the final system.

</td> </tr>  
<tr>  
<td>

**Archiving and preservation (including storage and backup)**

</td> </tr>  
<tr>  
<td>

_**For how long should the data be preserved?** _

</td>  
<td>

The public part of the dataset will be preserved online for as long as there
are regular downloads within the online platform of the MyAirCoach system.
After that, it would be made accessible by request in order to reduce any
issues regarding the overall performance of the system.

The private part of the dataset will be preserved by responsible MyAirCoach
partner at least until the end of the project.

</td> </tr>  
<tr>  
<td>

**_Approximated end volume of data_ **

</td>  
<td>

Unknown

</td> </tr>  
<tr>  
<td>

_**Indicative associated costs for data archiving and** _

**_preservation_ **

</td>  
<td>

Probably two dedicated hard disk drives will be allocated for the dataset; one
for the public part and one for the private. There are no costs associated
with its preservation of the data.

</td> </tr>  
<tr>  
<td>

_**Indicative plan for** _

**_covering the above costs_ **

</td>  
<td>

Small one-time costs covered within the MyAirCoach project.

</td> </tr>  
<tr>  
<td>

**Ethical issues and requirements**

</td> </tr>  
<tr>  
<td>

</td>  
<td>

The collected data should be carefully anonymized for the preservation of the
privacy of participants.

All doctors’ comments accompanying the assessments should be carefully
reviewed and delete any sections that can be used to identify the respective
patient.

</td> </tr> </table>

#  4 MyAirCoach Open Access Platform

In order to provide the required framework for the sharing of information
generated by the MyAirCoach project the knowledge portal of the project was
created were all partners can upload and share documents and data within the
consortium. After the assurance of anonymity and the protection of the privacy
of patients, data can be published through the dissemination channels of the
project and mainly through the project’s website.

Furthermore, open access to the MyAirCoach data should continue to be
available even after the completion of the project timeline and the deployment
of the MyAirCoach system as an independent framework open access to the data
of the project. In this direction and open access platform was created so as
to cover the above described types of datasets

##  4.1 MyAirCoach Open Access Demonstrator

The open access platform of MyAirCoach is designed as a component of the final
online platform of the MyAirCoach and as such has offers two fundamental
views. The first one is addressed to registered members of the system such as
health care professionals who in addition to the data of their patients will
be able to access anonymized health records and the knowledge generated within
the MyAirCoach project. Furthermore, these users will be able to upload data
to the open access framework and share them with the entire asthma and
research community.

The second view of the system is intended for unregistered users who need to
get access to the datasets and publications of MyAirCoach without registering
as a user. In this case only anonymized data will be made available to them
and they will not be able to upload any type of data to the system.

Figure 1 illustrated the login page of the MyAirCoach platform showing the two
different ways of accessing the data of the project

**Figure 1: Login page of the MyAirCoach Platform**

After login, the users will be presented with the functionalities of the
system which will be different for based on whether the user is registered or
not the MyAirCoach system. The open data option leads to an introductory page
describing the purpose so the repository and how it can be used by anyone
interested in the study and understanding of asthma

**Figure 2: Home page of the Open Data functionalities of MyAirCoach**

The selection of data in the top menu of the web page leads the user to the
main part of the open data repository where he/she can access the documents,
datasets and anonymized patient records.

**Figure 3: Documents repository of the MyAirCoach**

The documents repository of the platform will be used in order to access the
outcomes of the project and more specifically it will include

  * **MyAirCoach deliverables** as they will be produced throughout the project and summarize the important results and strategies selected 

  

  * **Scientific publications** as they will translate the results of the project to scientific knowledge to be used by medical researchers and information technology specialists 

  

  * **Dissemination material for asthma disease** as they will be use by the project for the dissemination of the objectives and results of the project as well as the increase of the MyAirCoach user base 

  

Figure 3 illustrated the final version of the currently datasets as they can
be also found in the project’s website.

In order to support the usability, usefulness and accessibility of the data a
metadata template was used for the description of every uploaded document as
shown in Figure 4. It should be underlined that only the creators of the
document and the system administrator have the right to edit and change the
provided information or delete the document from the repository.

**Figure 4: Indicative example of document metadata**

Furthermore, and following the same approach registered users are given the
ability to upload a new document on the platform with the explicit requirement
of filling in the most important parameters of document description.

The following figures describe the same functionalities as above but for the
case of the datasets that will be uploaded on the MyAirCoach open access
platform. More specifically the currently available categories of datasets
include:

  * **Inhaler usage measurements** as they relate to the measurements during the actual use of inhalers by patients 

  

  * **Physiology measurements** as they relate to the physiological assessments of healthcare professionals or measurements of physiological parameters through the use of sensing devices in the patients environment 

  

  * **Exhaled NiOX measurements** as they relate to the use of modern Forced Exhaled Nitric Oxide devices in the clinical environment or in the patients home environment 

  

  * **Nutritional assessments** as they relate to the collection of data related to the nutritional habits of patients or the guidelines of doctors 

  

  * **Lifestyle measurements** as they relate to the collection of data from questionnaires and sensing devices regarding the activity levels of patients and also the advice of healthcare professionals in this area 

  

  * **Environmental measurements** as they relate to the collection of information regarding environmental conditions and pollution levers in the vicinity of asthma patients 

  

  * **Patient tomography data** as they relate to the 3D imaging of patient lungs and respiratory tract 

  

  * **Lung modelling results** from the simulations conducted within the project and which will provide useful information for the flow of air within the lungs as well as the deposition of particles in the airway walls. 

  

  * **Patient models** as they are related to the modeling framework of MyAirCoach and the general and anonymized patient models produced within the project’s framework 

  

  * **Educational and training content** documents and interactive material aiming to educate patients regarding the condition of asthma and help them use their inhalers correctly 

  

  * **Asthma action plans** action plan templated in document form or interactive computer/smartphone based approaches for the description of the prescribed methodology for the effective self-management of asthma 

  

**Figure 5: Dataset repository of the MyAirCoach platform**

**Figure 6: Template for the uploading of datasets on the MyAirCoach
platform**

Figure 7 presents the available open datasets of the MyAirCoach project as
they include results of modelling simulations and annotated sound datasets for
the training of machine learning algorithms for the detection of important
steps of inhaler technique.

Finally, the open data repository of MyAirCoach provides access to anonymised
Virtual Patient Records. The data of this type will be assessable directly
through the platform and also possible for the users of the system to download
them in a standardized data format such as openEHR of HL7. The following
Figure present a list of test patient records created for the purposes of the
current demonstrator.

**Figure 7: MyAirCoach repository of anonymised Virtual Patient records**

As seen in Figure 7, the user can access the Virtual Patients profile. The
profile selection view of the patients’ electronic health record separated in
tabs of different health assessments (Figure 8). The summary view sorts the
assessments based on their time and aiming to allow doctors to better
understand the overall evolution of the patients’ health. Open data platform
is used in order to visualise important parameters of the datasets collected
and help to understand how the MyAirCoach repository will be evolving through
the timeline of the project.

**Figure 8: Profile view of the patient’s record**

The document and dataset charts, in Charts view include pie charts for the
visualisation of the relative percentage for the defined types of documents or
datasets and the number of datasets uploaded as a function of time. Figure
9910 and Figure 101011 show indicative examples of these visualisations based
on the testing data and the evaluation of the platform before the integration
with the MyAirCoach system.

Furthermore, informative diagrams are also available as a summary of the
available anonymised patient records as seen in Figure 111112. As presented
the initial version of the charts include the distribution of demographic data
among the entire dataset (age and Gender) as well as the distribution of
important clinical parameters as they are assessed in the last exam of the
patient.

**Figure 9: Charts for the visualization of uploaded documents**

**Figure 10: Charts for the visualization of uploaded datasets**

**Figure 11: Charts for the visualization of available anonymised patient
records**

##  4.2 Conformance to EU Commission Guidelines

The following table summarizes the proposed solutions of MyAirCoach for the
addressing of the data management aspects as described by EU commission.

**Table 9: Conformance with the EU Commission Data Management Plan Guidelines
a**  
  
<table>  
<tr>  
<th>

**Aspect**

</th>  
<th>

**MyAirCoach Solution**

</th> </tr>  
<tr>  
<td>

**Discoverable**

</td>  
<td>

The documents and datasets of the project will be made available through a
diverse and side number of dissemination channels in order to support their
discoverability. Furthermore, all scientific publications of the project will
provide links to the respective datasets on the online open data platform of
MyAirCoach

</td> </tr>  
<tr>  
<td>

**Accessible**

</td>  
<td>

The knowledge created within MyAirCoach, both in terms of documents and
datasets, will be easily accessible from the website of the project and the
open data repository as demonstrated in the previous section

</td> </tr>  
<tr>  
<td>

**Assessable and**

**intelligible**

</td>  
<td>

The metadata provided for its document and dataset uploaded on the MyAirCoach
platform together with the provided searching tool will allow their easy
access and understanding so as to be used by researchers and be subjected to
scientific review.

</td> </tr>  
<tr>  
<td>

**Usable beyond the original purpose for which it was**

**collected**

</td>  
<td>

The inclusion of a diverse set of datasets and documents in the same platform
is expected to increase the visibility of the available data and also support
their use beyond their initial purpose and by researchers outside the
project’s consortium.

</td> </tr>  
<tr>  
<td>

**Interoperable to specific quality**

**standards**

</td>  
<td>

The suggested file formats for every type of document and dataset indicate the
project’s objective to remove any standardization barriers that may prevent a
number of users from assessing the data. Furthermore, the selected file
formats are supported by free software packages and open source programming
libraries that allow their use without additional costs.

</td> </tr> </table>

##  4.3 Conformance to Principles of Medical Information Security

The following table summarizes the proposed solutions of MyAirCoach for the
addressing of issues of medical information security

**Table 10: Conformance with the Harvard Research Data Security Policy**  
  
<table>  
<tr>  
<th>

**Principle**

</th>  
<th>

Description

</th> </tr>  
<tr>  
<td>

**Access control.**

</td>  
<td>

The medical records of patients will be only accessible to their doctors and
family members as identified by the patient. Furthermore, and after the
informed consent of the

</td> </tr>  
<tr>  
<td>

</td>  
<td>

patient an anonymized version of their record will be made available

</td> </tr>  
<tr>  
<td>

**Record opening**

</td>  
<td>

MyAirCoach records will be accessible by the patients themselves. In addition
the open data repository will be also available to all users.

</td> </tr>  
<tr>  
<td>

**Control**

</td>  
<td>

The uploading of data or editing will be subjected to a detailed scheme of
permissions and all uploaded data will be characterized by the name of their
creator

</td> </tr>  
<tr>  
<td>

**Consent and notification**

</td>  
<td>

Informed consent of patients will be required before any type of publication
or sharing of information within the consortium or with external users.

</td> </tr>  
<tr>  
<td>

**Persistence**

</td>  
<td>

No deletion functionalities of health record will be provided to any type of
users. If a user requires the deletion of his/her health record or uploaded
data a request should be sent to the ethical committee of the project for
review.

</td> </tr>  
<tr>  
<td>

**Attribution**

</td>  
<td>

All uploaded data and changes will be marked with the user id of the
respective creator. An audit trail will be kept in when deletions are
performed, and after the approval of the ethical committee of the project.

</td> </tr>  
<tr>  
<td>

**Information flow**

</td>  
<td>

No information flow will be available between records within the MyAirCoach
framework.

</td> </tr>  
<tr>  
<td>

**Aggregation control**

</td>  
<td>

Patients will have the control of the users that have access to their medical
record, either through the anonymized or the detailed view.

</td> </tr>  
<tr>  
<td>

**Trusted Computing Base**

</td>  
<td>

Information technology experts will supervise the proper function of the
system and report any risks for privacy and data security.

</td> </tr> </table>

#  5 Conclusions

The purpose of the current deliverable of the MyAirCoach project is to support
the data management life cycle for all data that will be collected, processed
or generated by the project. The data management plan of the project consists
of a detailed analysis of the datasets that the partners of the MyAirCoach
project plan to collect and use. Foreseen datasets contain inhaler usage
measurements, physiology assessments, exhaled Nitric Oxide measurements,
environmental measurements, patient tomography data, virtual models etc.

Each dataset was separately analyzed, with emphasis given on the nature of the
data, the accessibility and its possible access type, as well as any ethical
issues that may arise from manipulating sensitive personal information. This
deliverable will serve as a guide to build the infrastructure for efficiently
managing, storing and distributing the amount of data collected, especially
concerning the portions of the MyAirCoach datasets that will be made publicly
available.

Furthermore a detailed demonstrator of the online open data platform of the
project is presented, showing the main functionalities implemented in the
project and how it is integrated with the online version of the MyAirCoach
system. Furthermore, the user Centered Design and Development processes of the
MyAirCoach together with the planned evaluation task have allowed the
optimization of the open data platform and towards its use from researchers
outside the project’s consortium and after the completion of the project
activities.

#  Appendix 1: Deposit License Agreement

In order to guarantee the proper function of the online open data repository
of MyAirCoach a License Agreement was prepared based on the respective
document of the 3TU Datacentrum _** 40  ** _  
  
<table>  
<tr>  
<th>

The following parties are involved in this Licence Agreement:

  1. The organization or person authorized to transfer and deposit the digital dataset/document(s), hereafter referred to as the Depositor 

  

  2. The organization that is authorized to archive and manage the digital 

  

  

dataset/document(s), here after referred to as the Repository The Depositor
is:

The person or legal entity registered as such with the Repository The
Repository is:

MyAirCoach open access repository

</th> </tr> </table>

This Licence Agreement is subject to the following provisions:

###  1\. Licence

  1. The Depositor grants the Repository a non-exclusive license for digital data files, hereafter referred to as ‘dataset/document’. 

  

  2. The Repository is authorized to include the dataset/document in its data archive. The Repository shall transfer the content of the dataset/document to an available carrier, through any method and in any form. 

  

  3. The Repository is authorized to make the dataset/document (or substantial parts thereof) available to third parties by means of online transmission. In addition, the Repository has the right, on the instruction of third parties or otherwise, to make a copy of the dataset/document or to grant third parties permission to download a copy. 

  

  

###  2\. The Depositor

  1. The Depositor declares that he is a holder of rights to the dataset/document, or the only holder of rights to the dataset/document, under the Databases act and where relevant the Copyright Actor otherwise, and/or is entitled to act in the present matter with the permission of other parties that hold rights. 

  

  2. By depositing a dataset/document the Depositor does not transfer ownership. The Depositor retains the right to deposit the dataset/document elsewhere in its present or future version(s). The Depositor retains all moral rights in the dataset/document including the right to be acknowledged as creator. 

  

  3. The Depositor indemnifies the Repository against all claims made by other parties against the Repository with regard to the dataset/document, the transfer of the dataset/document, and the form and/or content of the dataset/document. 

  

  

###  3\. The dataset/document

  1. The dataset/document to which the license relates consists of all the databases, documentation and other data files and documents that form part of this dataset/document, which have been transferred by the Depositor. 

  

  2. The Depositor declares that the dataset/document corresponds to the specification provided. 

  

  3. The Depositor declares that the dataset/document contains no data or other elements that are contrary to European law. 

  

  4. The Depositor will supply the dataset/document by means of a method and medium deemed acceptable by the Repository. 

  

  

###  4\. The Repository

  1. The Repository shall ensure, to the best of its ability and resources, that the deposited dataset/document is archived in a sustainable manner and remains legible and accessible. 

  

  2. The Repository shall, as far as possible, preserve the dataset/document unchanged in its original software format, taking account of current technology and the costs of implementation. The Repository has the right to modify the format and/or functionality of the dataset/document if this is necessary in order to facilitate the digital sustainability, distribution or re-use of the dataset/document. 

  

  3. If the access category “Temporary restriction: Embargo”, as specified at the end of this Agreement, is selected, the Repository shall, to the best of its ability and resources, ensure that effective technical and other measures are in place to prevent unauthorized third parties from gaining access to and/or consulting the dataset/document or substantial parts thereof. 

  

  

###  5\. Removal of dataset/documents

**a.** If sufficient weighty grounds exist, the Repository has the right to
remove the dataset/document from the archive wholly or in part, or to restrict
or prevent access to the dataset/document on a temporary or permanent basis.
The Repository shall inform the Depositor in such cases.

###  6\. Availability to third parties

  1. The Repository shall make the dataset/document available to third parties in accordance with the access conditions agreed with the Depositor: "Open access", or the “Temporary restriction: Embargo”. 

  

  2. The Repository shall make the dataset/document available only to third parties who have agreed to comply with the General Conditions of Use. 

  

  3. Notwithstanding the above, the Repository can make the dataset/document (or substantial parts thereof) available to third parties: 

     * if the Repository is required to do so by legislation or regulations, a court decision, or by a regulatory or other institution 

  

     * if this is necessary for the preservation of the dataset/document and/or the data archive 

  

     * (to a similar institution) if the Repository ceases to exist and/or its activities in the field of data archiving are terminated 

  

  

  4. The Repository shall publish the metadata and make them freely available, on the basis of the documentation that the Depositor provides with the dataset/document. The term metadata refers to the information that describes the digital files. 

  

  5. The general information about the research and the metadata relating to the dataset/document shall be included in the Repository’s databases and publications that are freely accessible to all persons. 

  

  

###  7\. Provisions relating to use by third parties

  1. The Repository shall require third parties to whom the dataset/document (or substantial parts thereof) is made available to include in the research results a clear reference to the dataset/document from which data have been used. The reference must comply with the General Conditions of Use. 

  

  2. The Repository shall require parties to which a dataset/document is made available to grant a non-exclusive license for the dataset/document(s) they create using the dataset/document that has been made available. 

  

  

###  8\. Liability

  1. The Repository accepts no liability in the event that all or part of a dataset/document is lost. 

  

  2. The Repository accepts no liability for any damage or losses resulting from acts or omissions by third parties to whom the Repository has made the dataset/document available. 

  

  3. The Repository accepts no responsibility for mistakes, omissions, or legal infringements within the deposited dataset/document. 

  

  

###  9\. Term and termination of the Agreement

  1. This Agreement shall come into effect on the date on which the Repository receives the dataset/document (hereafter the deposit date) and shall remain valid for an indefinite period. If the repository decides not to include the dataset/document in its data archive, this Agreement is cancelled. The Repository notifies the Depositor of publication or non-inclusion of the dataset/document in its data archive. Cancellation of this Agreement is subject to a period of notice of six months, and notice shall be given in writing. It is possible to change the agreed access category at any time during the term of the Agreement. 

  

  2. Notwithstanding point (a), this Agreement shall end when the dataset/document is removed from the data archive in accordance with Article 5 of this Agreement. 

  

  3. If the Repository ceases to exist or terminates its data-archiving activities, the Repository shall attempt to transfer the data files to a similar organization that will continue the Agreement with the Depositor under similar conditions if possible. 

  

  

###  10\. Jurisdiction

MyAirCoach open data platform is entitled, but not obliged, to act
independently against violations of the Copyright Act and/or any other
intellectual property right of the holder(s) of rights to the dataset/document
and/or the data from the dataset/document.

###  11\. Applicable law

European law is applicable to this agreement.

**The Depositor hereby agrees to the above provisions and the general code(s)
of conduct referred to in this document.**

#  Appendix 2: Dataset of Inhaler Usage Measurements

Indicative datasets generated within the myAirCoach project are available
online through the open access platform via the following link
_https://myaircoach.iti.gr:40001/myaircoach/app/#/opendata_ .  An indicative
set of Inhaler Usage Measurements is described in this Appendix.

Specifically, seven recordings were performed with the smart inhaler device as
a dataset example for the open data repository. In more details,

  1. inhaler_recording_1530271926.wav includes only two drug activation events, 

  

  2. inhaler_recording_1530271845.wav includes only an exhalation and an activation event, 

  

  3. inhaler_recording_1530272215.wav includes an exhalation, a drug activation, and inhalation and after 6 seconds an exhalation event, 

  

  4. inhaler_recording_1530272070.wav includes an exhalation, a drug activation, and inhalation and after 3 seconds an exhalation event, 

  

  5. inhaler_recording_1530278275.wav contains only an inhalation event in the first six seconds, 

  

  6. inhaler_recording_1530271999.wav includes an exhalation, a drug activation, and inhalation and after 3 seconds an exhalation event, 

  

  7. inhaler_recording_1530272143.wav includes an exhalation, a drug activation, and inhalation and after 3 seconds an exhalation event. 

  

  

For the differentiation of inhaler events four classes are defined, drug
actuation denoted as D marked with colour red, exhalation denoted as E marked
with colour green, inhalation denoted as I marked with colour blue, noise and
other sounds denoted as N marked with colour gray  
  
<table>  
<tr>  
<th>

Class #

</th>  
<th>

Class description

</th>  
<th>

Class short

</th>  
<th>

Class colour

</th> </tr>  
<tr>  
<td>

1

</td>  
<td>

Drug actuation

</td>  
<td>

D

</td>  
<td>

</td> </tr>  
<tr>  
<td>

2

</td>  
<td>

Exhalation

</td>  
<td>

E

</td>  
<td>

</td> </tr>  
<tr>  
<td>

3

</td>  
<td>

Inhalation

</td>  
<td>

I

</td>  
<td>

</td> </tr>  
<tr>  
<td>

4

</td>  
<td>

Noise & other sounds

</td>  
<td>

N

</td>  
<td>

</td> </tr> </table>

For the sake of self-completeness, for the identification of inhaler events a
series of features is extracted including Continuous Wavelet Transform (CWT),
Spectrogram, Cepstrorgram, Mel Frequency Spectrum coefficients (MFCC), Zero
Cross Rate (ZCR). The classification of the feature vectors is performed using
Random Forest classification algorithm.

The sound recordings are visualized and depicted according to the following
figures, where the different events detected (Drug actuation, Exhalation,
Inhalation, Noise & other sounds) are denoted with the colour scale described.

Detection of drug

actuation event

Detection of drug

actuation event

**Figure 12 : inhaler_recording_1530271926.wav includes only two drug
activation events. Each block corresponds to one second of audio.**

**Figure 13 : inhaler_recording_1530271845.wav includes only an exhalation and
an activation event. Each block corresponds to one second of audio.**

**Figure 14 : inhaler_recording_1530272215.wav including an exhalation, a drug
activation, and inhalation and after 6 seconds an exhalation event. Each block
corresponds to one second of audio.**

**Figure 15 : inhaler_recording_1530272070.wav including an exhalation, a drug
activation, and inhalation and after 3 seconds an exhalation event. Each block
corresponds to one second of audio.**

**Figure 16 : inhaler_recording_1530278275.wav contains only an inhalation
event in the first six seconds. Each block corresponds to one second of audio.
Each block corresponds to one second of audio.**

**Figure 17 : inhaler_recording_1530271999.wav including an exhalation, a drug
activation, and inhalation and after 3 seconds an exhalation event. Each block
corresponds to one second of audio.**

**Figure 18 : inhaler_recording_1530272143.wav including an exhalation, a drug
activation, and inhalation and after 3 seconds an exhalation event. Each block
corresponds to one second of audio.**