#  Document Purpose

###  Executive Summary

This document is part of the deliverable of Work Package 10, D10.7 A Data
Management Plan.

Data Management Plan (DMP) will be implemented due to our participation in the
PILOT on Open Research Data in Horizon 2020. This deliverable describes all
the data that will be collected and generated during the STIMEY project, how
it will be created, stored and backedup, who owns it and who is responsible
for the different data and which data will be preserved and shared.

#  Data Summary

STIMEY will both collect data from partners and third parties, and will
generate new data within the project. These Data will be collected and
generated with the only purpose of developing research activities in STIMEY.

The main goal of the project is to engage Society to Science, Technology,
Engineering and Mathematics (STEM), awakening and supporting scientific and
technical careers. In order to reach this goal, STIMEY will develop a platform
which will contain personal and academic information as part of the student
e-profile. The students have the opportunity of playing some serious games,
and as they play. All of them will develop their cognitive and knowledge
profile and build their personal creativity curve. The platform will have
material developed by teachers, schools, universities, research centres and
corporations they will be able to create personal learning environments
combining existing resources and updating existing information. Every
educational centre and company registered in the platform need to provide
information related to them in order to make them clearly identifiable for
further references.

Other objective within the project is to develop a socially assistive robotic
artefact, this robot will be able to communicate with others, and send back
information to the platform. This social media communication will be useful
for both scientific and educational studies.

A variety of different methods of collection are used, but all adhere to high

international standards. Personal data (e.g. age, gender, languages…) will be
collected via questionnaires or register forms.

Different Stakeholders will actively participate and collaborate in the STIMEY
project by giving specific information related to STEM areas. Educational
centres and teachers will take part in the platform by creating new specific
content or evaluating the student progress. Students will be assessed at
different stages of the year using a variety of activities, serious games,
robotic artefacts and other approaches at school and home. The task will have
been designed as a way of engaging society to science and awakening and
supporting scientific and technical careers. A complete list of datasets to be
collected and created is shown in Table 1.  
  
<table>  
<tr>  
<th>

**Dataset**

</th>  
<th>

**Purpose**

</th>  
<th>

**Type/ Format**

</th>  
<th>

</th>  
<th>

**Origin of the data**

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

Personal Data

</td>  
<td>

  * User profile in the platform 

  

  * Socioeconomic/cultural 

  

studies

</td>  
<td>

  * Text 

  

  * Images 

  

  * Voice 

  

</td>  
<td>

\-

\-

</td>  
<td>

Questionnaires Stakeholder & Data collection

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

Academic Data

</td>  
<td>

  * Courses list 

  

  * Courses' scores/awards on and out of the platform 

  

</td>  
<td>

  * Text 

  

  * Images 

  

</td>  
<td>

\-

\-

</td>  
<td>

User input in the platform module Interconnectedness with other platforms

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

Family information

</td>  
<td>

\- Parent/Child (under 13) connection

</td>  
<td>

  * Text 

  

  * Images 

  

</td>  
<td>

\-

</td>  
<td>

User input in the platform module

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

Professional Data

</td>  
<td>

  * Work history (job titles, company names, dates) 

  

  * Achievements/awards 

  

</td>  
<td>

\- Text - Images

</td>  
<td>

\-

</td>  
<td>

User input in the platform module

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

Stakeholder Information

</td>  
<td>

\- List of collaborators in STIMEY and information about them

</td>  
<td>

\- Text - Images

</td>  
<td>

\-

\-

</td>  
<td>

Questionnaires Stakeholder & Data collection

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

Educational Center Information

</td>  
<td>

\- List of schools that collaborate in STIMEY and information about them

</td>  
<td>

\- Text - Images

</td>  
<td>

\-

\-

</td>  
<td>

Questionnaires Stakeholder & Data collection

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

Cognitive profile

</td>  
<td>

  * Information about how the students process new information or activities 

  

  * Learning potentials 

  

  * Personal strengths 

  

</td>  
<td>

  * Text 

  

  * Spreadsheet 

  

</td>  
<td>

\-

\-

</td>  
<td>

Questionnaires

Platform activities

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

Emotional profile

</td>  
<td>

Information about:

  * Self-control 

  

  * Self-motivation 

  

  * Adaptability 

  

  * Leadership 

  

</td>  
<td>

  * Text 

  

  * Spreadsheet 

  

</td>  
<td>

\-

\-

</td>  
<td>

Questionnaires

Platform activities

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

Knowledge profile

</td>  
<td>

  * Skills and knowledge acquired 

  

  * Indicator related to student characteristics 

  

  * Learning improvements 

  

</td>  
<td>

  * Text 

  

  * Spreadsheet 

  

</td>  
<td>

\-

\-

</td>  
<td>

Questionnaires

Platform activities

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

Companies working for STIMEY

</td>  
<td>

\- -

\-

</td>  
<td>

List of companies outsourced by STIMEY

Personal contacts of the company

Solvency index

</td>  
<td>

  * Text 

  

  * Spreadsheet 

  

</td>  
<td>

\-

\-

</td>  
<td>

Questionnaires

Platform activities

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

Statistical reports

</td>  
<td>

\-

</td>  
<td>

Data used as measures for indicators

</td>  
<td>

  * Text 

  

  * Spreadsheet 

  

</td>  
<td>

\-

</td>  
<td>

Questionnaires

Platform activities

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

_Table 1 Datasets_

In order to improve the accessibility and the digital preservation in the long
term it is recommended to use:

  * Complete and open documentation 

  

  * Non-proprietary software 

  

  * No key-protection 

  

  * No total/partial encoding 

  

  * Open formats like RTF, TIFF, JPG or well-known proprietary formats 

  

##  Making data findable, including provisions for metadata [Fair Data]

Metadata facilitates exchange of data by making them Findable, Accessible,
Interoperable and Re-Usable (F.A.I.R.). Metadata will be used to identify and
locate the data through catalogues or search engines.

All the data produced in STIMEY project will be identified by using a unique
and persistent identifier: HANDLE, guaranteeing a permanent access and
allowing you to reference your data in a safety way.

The structure of HANDLE uri is: producer prefix + “/” + document suffix. i.e.:

_http://rodin.uca.es/handle/10498/14617_

The metadata will be based on a generalised metadata scheme used in the RODIN
platform. This is an institutional repository located in the University of
Cadiz. Its goal is to create a digital deposit in order to store, preserve and
disseminate all the documentation related to research activities.

RODIN repository can store data and documents related to Horizon 2020
projects. These data will be collected afterwards by OpenAIRE. Following the
generalised metadata scheme used in RODIN, we will have the elements listed
below:

  * Tittle. 

  

  * Creator/s: Last name, First name 

  

  * Contributor: Information provided by the EU or the STIMEY project itself. 

  

  * Subject: List of keywords 

  

  * Description: Text explaining the content of the data. 

  

  * Date. 

  

  * Type: type of document: i.e.: “info:eu-repo/semantics/workingPape” 

  

  * Identifier: HANDLE uri 

  

  * Language: document/data language 

  

  * Relation 

  

  * Rights: license, and access. I.e.: info:eu-repo/semantics/openAccess - Format: details about the file format 

  

A readme.txt file could be included to provide information on field methods
and procedures.

##  Making data openly accessible [Fair data]

Every data collected and generated (non-personal data) with the main aim of
developing research activities within the STIMEY project will be openly
available.

Due to the participation of underage people in activities related to the
project, with the aim of protecting and guaranteeing their privacy, all their
data will be collected and treated without being identified.

All the data related to the platform will be located in a server in the
University of Emden/Leer and will be available by logging in the site.
Previously, you must have signed up using your email or social media account.
On the other hand, every personal or restricted data will be located in a
computer server in the University of Cadiz.

Data will be processed for the limited purposes of the studies; therefore,
only relevant data will be collected. Data will be used for the analysis of
the proposed studies results.

Every data generated in this project will be:

  * Collected in a fair, faithful and transparent way. 

  

  * Collected with the only purpose of develop research activities in STIMEY - Suitable, appropriate and limited to necessary for the project. 

  

  * Stored no longer than necessary 

  

  * Protected against non-authorized treatment and guarantee their security 

  

Regarding to personal data, every person involved in research studies will be
assigned a unique key. In order to generate this key/code we will have a
system with a deterministic hash function, this type of function receive a
string and always return the same value. This string will be form by the full
name and birthdate of the person. It is important to know that it is a one-way
function, it is not possible to obtain a name with a given key.

Only the researcher team of the project will have access to the codify data.
In order to be on the list (authorized people) it will be necessary to have
the authorization of the Data Controller and the STIMEY coordinator.

Servers and the storage in the University of Cadiz will be located in their
Data Center of level TIER III following the standard classification
ANSI/TIA-942.

Apart from these repositories, STIMEY will also use the centralised repository
RODIN to ensure the maximum dissemination of the information generated in the
project. This repository make use of the OAI-PMH protocol (Open Archives
Initiative Protocol for Metadata Harvesting), what allows that the content can
be properly found by means of the defined metadata.

##  Making data interoperable [Fair data]

By using RODIN repository to store and disseminate the data and metadata
generated (nonpersonal data) associated to the STIMEY project we are
facilitating the interoperability of the data. All the data generated can be
exchanged between researchers and partners in STIMEY.

RODIN follows the _Dublin Core Scheme_ ; it is a small set of vocabulary terms
that is used to describe web resources such as videos or images. The complete
list of terms can be found on the Dublin Core Metadata Initiative (DCMI)
website. The DCMI Abstract Model was designed to bridge the paradigm
unbounded, linked data graphs with the more familiar paradigm of validatable
metadata records like those used in OAI-PMH.

The full list of fifteen-element of metadata terms (DCMI) are ratified in the
following standards: IETF RFC 5013, ANSI/NISO Standard Z39.85-2007, and ISO
Standard 15836:2009.

All the Metadata used in the STIMEY project will be “mappeable” on standard
vocabularies by following the _Dublin Core Scheme._

##  Increase data re-use (through clarifying licenses) [Fair data]

Data generated (non-personal data) and associated software will be deposited
in RODIN. To facilitate the re-use of the data, these will be made available
under a Creative Commons BYNC-SA License, this licence permit to others to
copy, distribute, display and perform the work for not commercial purposes
only, also permits other to create and distribute derivative works, but only
under the same or a compatible license.

This project will use “Open access publishing, also called ‘Gold’ open access,
this means that an article is immediately provided in open access mode by the
scientific publisher. The associated costs are shifted away from readers, and
instead to (for example) the university or research institute to which the
researcher is affiliated, or to the funding agency supporting the research.

All the data produced (non-personal data) in the project will be made
available for reuse at the end of project. These data will be also usable by
third parties the project but private or restricted data which won’t be
available in any case. The length of time for storing data will be, at least
until the end of the project.

The data quality is ensured by different measures. These include validation of
the sample, replication, comparison with results of similar studies and
control of systematic distortion and statistical reports based on several
indicators.

The procedures that are fundamental to effective data quality assurance could
include:

  * Document data quality requirements and define rules for measuring quality 

  

  * Assess new data to create a quality baseline 

  

  * Implement semantic metadata management processes 

  

  * Keep on top of data quality problems 

  

#  Allocation of Resources

We will consider the costs of data for this project related to the price of
keeping the information in the different repositories both for public data and
for private data.

University of Cadiz will use RODIN repository and this service is for free. HS
EL University, which will work with data of the STIMEY platform, uses
BitBucket repository also for free if the number of users in the repository is
less than five.

Associated costs for dataset preparation and data management during the
project will be covered by the project itself.

Inmaculada Medina Bulo as General Director of Information Systems at
University of Cádiz, has been assigned as Data Controller of the STIMEY
project and has been added to the Project Advisory Board and the consultant
committee for ethics aspects and personal data protection. Every partner has
assigned one person (Data Processor) responsible for following up the
procedures designed by the Data Controller, specially collecting and storing
procedures including informed consent process and transparency process.

#  Data Security

During the project, data will be automatically saved on an institutional
server with backup on a separate offsite server. Backup will be checked and
validated manually.

The key generator system will be located in a computer server in the
University of Cadiz. This computer will be turn off and with no connection,
excepting one hour a week. In that period, the teacher in charge of the
students will be able to access the system and generate new keys for them.
Every access will be authenticated and stored in a logging file. Every IP
address will be validated and previously known, minimizing every possible risk
when it is generated a key. It is important to highlight that every name of
the participants in STIMEY activities will be never stored.

In the same way, we can affirm that every access to the information located in
Spain will be exclusive to the personal in charge of the project, following
the recommendations of the standard ISO/IEC 27002:2005.

#  Ethical Aspects

According to the principle of “data minimization” based on article 5 section
c) of the general data protection regulation, it set out that it will not be
collected any data that contains ethnic or racial information, union or
political affiliation, religious beliefs, as in genetic data, biometrical
data, data health data, data related to the life or sexual orientation of a
person.  1