#  Introduction

##  **Data Management Plan Internal Consortium Policy**

The GRACE Data Management Plan (DMP) gives an overview of the data and
information collected throughout the project and shows the interaction and
interrelation of the data collecting activities within and between the work
packages. The DMP will also link these activities to the GRACE partners and
discuss their responsibilities with respect to all aspects of data handling.

Furthermore, the GRACE DMP will lay out the procedure for data collection,
consent procedure, storage, protection, retention and destruction of data, and
confirmation that they comply with national and EU legislation. The DMP will
ensure that the exchange of data of companies and industries is in full
compliance with the participating companies and industries internal data
protection strategies. This DMP aims at providing an effective framework to
ensure comprehensive collecting and handling of the data used in the project.
Thereby and wherever trade secrets of the participating companies and
industries are not violated, GRACE strives to comply with the open access
policy of Horizon 2020.

The DMP is intended to be a living document which will be adjusted to the
specific needs of GRACE throughout the project’s runtime and will be adapted
whenever appropriate.

This is the first version of DMP to be revised during the course of the
project.

This plan will establish the measures for promoting the findings during
GRACE’s lifecycle and will set the procedures for the sharing of data of the
project.

##  **Data Management Responsible**

Primary project Data Contact person is the coordinator of the project.  
  
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Project Data Contact (PDC)

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**Dan Kuylenstierna**

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PDC Affiliation

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**Chalmers University of Technology**

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PDC mail

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**Dan.kuylenstierna @chalmers.se**

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PDC telephone number

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**+46 723 52 61 05**

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##  **FAIR data**

The GRACE project will follow the principles of FAIR data management. In
Section 2 it is described how data is Findable (F), Accessible (A),
Interoperable (I), and Re-usable (R).

#  GRACE DATA SUMMARY

The purpose of all data being collected in the GRACE project is to meet the
project objectives. In this aspect type of data beign collected is measurement
data, graphical data, layouts, text documents, and reports. Being in line with
the EU’s guidelines regarding the DMP, this document should address for each
data set collected, processed and/or generated in the project the following
characteristics: dataset description, reference and name, standards and
metadata, data sharing, archiving and preservation. At this point in time, an
estimation of the size of the data cannot be given. To this end, the
consortium develops a number of strategies that will be followed in order to
address the above elements.

This section, shall be provided a detailed description of these elements in
order to ensure their understanding by the partners of the consortium. For
each element, we also describe the strategy that will be used to address it.

##  **Data set description, reference and name**

In order to be able to distinguish and easily identify data sets, each data
set will be assigned with a unique name. This name can also be used as the
identifier of the data sets.

All data files produced, including emails, include the term “GRACE”, followed
by file name which briefly describes its content, followed by a version number
(or the term “FINAL”), followed by the short name of the organisation which
prepared the document (if relevant).

Each data set that will be collected, processed or generated within the
project will be accompanied by a brief description.

##  **Standards and metadata**

This version of the GRACE DMP does not include a compilation of all the
metadata about the data being produced in GRACE project, but there are already
several domains considered in the project which follows different rules and
recommendations. This is a very early stage identification of standards:  
  
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**For text-based documents Microsoft Office 2010 (or any other compatible
version) will be primarily used .doc, .docx, .xls, .xlsx, .ppt, .pptx.
Further, approved documents will also be made available as .pdf documents.**

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**Larger datasets will be stored as either .csv or .txt file formats**

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**Illustrations and graphic design will make use of Microsoft Visio (Format:
.vsd) or Photoshop (Format:**

**different types possible, mostly .png), and will be made available as .jpg,
.psd, .tiff or .ai files.**

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**Electrical data, e.g., simulated or measured Scattering parameters will be
stored using touchstone file format (.S2p), citifiles or other equivalent
format.**

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**Circuit layouts will be stored using the GDSII file format as main rule.**

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These file formats have been chosen because they are accepted standards and in
widespread use. Files will be converted to open file formats where possible
for long-term storage.

##  **Data sharing, access and preservation**

The digital data created by the project will be diversely curated depending on
the sharing policies attached to it. For both open and non-open data, the aim
is to preserve the data and make it readily available to the interested
parties for the whole duration of the project and beyond. A public Application
Programing Interface (API) will be provided to registered users allowing them
the access to the platform. The database compliance aims to ensure the correct
implementation of the security policy on the databases verifying vulnerability
and incorrect data. The target is to identify excessive rights granted to
users, too simple passwords (or even the lack of password) and finally to
perform an analysis of the entire database. At this point, we can assure that
at least the following measures will be considered for assuring a proper
management of data:

  * Dataset minimisation. The minimum amount of data needed will be stored so as to prevent potential risks. 

  

  * Access control list for user and data authentication. Depending on the dissemination level of the information an Access Control List will be implemented reflecting there for each user the data sets that can be accessed. 

  

  * Monitoring and Log of activity. The activity of each user in the project platform, including the data sets accessed, is registered in order to track and detect harmful behaviour of users with access to the platform. • Liability. Identification of a person who is responsible for keeping safe the information stored, 

  

  * When possible, the information will be also made available in the initiative that the EC has launched for open data sharing from research, which is ZENODO.ORG 

  

The mechanisms explained in this document aim at reducing to the maximum the
risks related to data storage.

###  Non-Open research data

The non-open research data will be archived and stored long-term in the BOX
portal administered by Chalmers. The BOX platform is currently being employed
to coordinate the project's activities and to store all the digital material
connected to GRACE. If certain datasets cannot be shared (or need
restrictions), legal and contractual reasons will be explained.

###  Open research data

The open research data will be archived, when deemed appropriate on the Zenodo
platform (https://zenodo.org/). Zenodo is an OpenAIRE’s trusted repository
hosted by CERN enabling researchers from all disciplines to share and preserve
their research outputs, regardless of size or format. Free to upload and free
to access, Zenodo makes scientific outputs of all kinds citable, shareable and
discoverable for the long term.

#  Allocation of resources

Data management in GRACE will be done as part of the WP5 and Chalmers, as
project coordinator, will be responsible for data management in GRACE project.
Each partner is responsible for their own data management costs within their
own organisation. Chalmers has allocated a part of the overall WP5 budget and
person months to these activities. For the time being, the project coordinator
is responsible for FAIR data management. Costs related to open access to
research data are eligible as part of the Horizon 2020 grant (if compliant
with the Grant Agreement conditions). Resources for long term preservation,
associated costs and potential value, as well as how data will be kept beyond
the project and how long, will be discussed by the whole consortium during
General Assembly (GA) meetings.

#  Data Security

For the duration of the project, datasets will be stored on the responsible
partner’s storage system. Every partner is responsible to ensure that the data
are stored safely and securely and in full compliance with European Union data
protection laws. After the completion of the project, all the responsibilities
concerning data recovery and secure storage will go to the repository storing
the dataset.

All data files will be transferred via secure connections and in encrypted and
password-protected form (for example with the open source 7-zip tool providing
full AES-256 encryption: http://www.7-zip.org/ or the encryption options
implemented in MS Windows or MS Excel). Passwords will not be exchanged via
e-mail but in personal communication between the partners.

#  Ethical Aspects

This section deals with ethical and legal compliance issues, like the consent
for data preservation and sharing, protection of the identity of individuals
and companies and how sensitive data will be handled to ensure it is stored
and transferred securely. Data protection and good research ethics are major
topics for the consortium of this project. Good research ethics meet all
actions to take great care and prevent any situation where sensitive
information could get misused. This is what the consortium wants to guarantee
for this project. Research data which contains personal data will just be
disseminated for the purpose for which it was specified by the consortium.
Furthermore, all processes of data generation and data sharing have to be
documented and approved by the consortium to guarantee highest standards of
data protection.

GRACE partners have to comply with the ethical principles as set out in
Article 34 of the Grant Agreement, which states that all activities must be
carried out in compliance with:

  * ethical principles (including the highest standards of research integrity — as set out, for instance, in the European Code of Conduct for Research Integrity including, in particular, avoiding fabrication, falsification, plagiarism or other research misconduct) and 

  

  * applicable international, EU and national law (in particular, EU Directive 95/46/EC). 

  

##  Informed Consent

An Informed Consent Form will be handed out to any individual participating in
GRACE interviews, workshops or other activities which may lead to the
collection of data which will subsequently be used in the project. An example
of the Informed Consent Form is shown in the Annex of this document.

##  Confidentiality

GRACE partners must retain any data, documents or other material as
confidential during the implementation for the project. Further details on
confidentiality can be found in Article 36 of the Grant Agreement along with
the obligation to protect results in Article 27.

##  Management of ethical issues

Personal data which will be collected within this project, will only be
stored, analysed and used anonymously. The individuals will be informed
comprehensively about the intent use of the information collected from them
and have to agree to the data collection for this scientific purpose with
their active approval in form of a written consent. The identity of any
individual interviewed or other wisely engaged in the project (e.g. by email
correspondence) will be protected by this anonymization of the data. The
anonymization process guarantees that no particular individual can be
identified anymore. Statistics and tables of quantitative research will be
published in a manner such that it will not be possible to identify any
person.

The legal experts of this project will guarantee that this process, including
the information for the individuals about data protection issues, fully
complies with national and EU laws.

#  Time table for updates

The document will be updated at each general assembly (GA) meeting according
to the time plan in the grant agreement.

#  List of datasets

This section will list the data-sets produced within the GRACE project. For
each partner involved in the collection or generation of research data a short
technical description is given stating the context in which the data has been
created.