<table>  
<tr>  
<th>

**Employer and affiliation of the contact**

</th>  
<th>

CEA Saclay,

DRF / IRAMIS / SPEC

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

**Project start date**

</td>  
<td>

1 January 2017

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

**Project duration**

</td>  
<td>

48 months

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

#  History of the document  
  
<table>  
<tr>  
<th>

Version number

</th>  
<th>

Date

</th>  
<th>

Description of the modification

</th>  
<th>

Author/Reviewer

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

</td>  
<td>

04/06/2017

</td>  
<td>

Initial draft

</td>  
<td>

Dr Sawako Nakamae

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

V1

</td>  
<td>

08/06/2017

</td>  
<td>

First IPR revision

</td>  
<td>

Mrs Dijana Samson

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

V2

</td>  
<td>

13/06/2017

</td>  
<td>

Second IPR revision

</td>  
<td>

Dr Sawako Nakamae

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

V3

</td>  
<td>

23/06/2017

</td>  
<td>

3rd IPR revision

</td>  
<td>

Mr Edd Jones/ S.

Nakamae/ D. Samson

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

V4

</td>  
<td>

28/06/2017

</td>  
<td>

Revision by Consortium members

</td>  
<td>

Dr Sawako Nakamae

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

V5

</td>  
<td>

05/04/2018

</td>  
<td>

Up-date of the document for the first periodic reporting time:

  * Correction: UE emblem and acknowledgment to EU funding 

  

  * Modification Part 4.1: data set naming rule 

  

  * Modification Parts 4.4; 4.5 and 4.6 : Length of data preservation 

  

</td>  
<td>

Dr Sawako Nakamae / Ms Delphine Meyer

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

#  Abbreviations and Acronyms (to be updated throughout the project)

DMP: Data management plan

GA: Grant Agreement

CA: Consortium Agreement

ORDP: Open research data pilot

WP: Work package

MTE: Magneto-thermoelectric

MTD: Magneto-thermodiffusion

FF: Ferrofluid

IL: Ionic Liquids

DoA: Description of Actions

#  1\. Summary

MAGENTA is a research & innovation project that aims to bring a paradigm
change in TE-technology by exploiting the magneto-thermoelectric (MTE)
property of ionic-liquid based ferrofluids. The **primary objectives** are
**:** **1) to provide** **founding knowledge of novel MTE phenomena in
ferrofluids** , **2)** **to build** **application-specific MTE prototypes**
for their use in targeted industrial sectors (cars and portable electronics)
and **3)** **to build an innovation ecosystem around the novel MTE technology
in the field of waste-heat recovery research and development.**

During the course of the project, MAGENTA will generate data in a wide range
of R&D activities from materials synthesis (ionic liquids, magnetic
nanoparticles and ferrofluids), Magneto-ThermoElectric (MTE), Magneto-
ThermoDiffusion (MTD) measurements, theoretical and numerical analysis to
prototype device testing and validation. Since the MAGENTA technology is at an
early stage, it is important that timely dissemination of these findings
(data, publications, trial results) are open for scrutiny by other
researchers, potential future partners and the wider research and regulatory
community.

As a project participating in the Open Research Data Pilot (ORDP) in Horizon
2020, MAGENTA will make its research data findable , accessible, interoperable
and reusable (FAIR). Nevertheless, data sharing in the open domain can be
restricted, taking in account “the need to balance openness and protection of
scientific information, commercialization and Intellectual Property Rights
(IPR), privacy concerns, security as well as data management and preservation
questions” as stated in Guidelines on FAIR Data Management in Horizon 2020
published by the European Commission.

The DMP’s purpose is, therefore, to provide the main elements of the data
management policy to be used by the Consortium regarding its complete research
data cycle. It describes: types and formats of data to be generated or
collected and how, the standards to be applied, the data-reservation methods,
the data-sharing policies for reuse. The DMP reflects the exploitation and IPR
requirements as defined in the Consortium agreement.

The present document is the 1  st  version of MAGENTA DMP, containing a
summary of the datasets; i.e., types, formats and sources (WPs and partner
names) and specific conditions to be applied for sharing and reuse. As a
living document, the DMP will be modified and refined through updates as the
project implementation progresses and/or significant changes occur. At
minimum, it will be updated in the context of the periodic
reporting/evaluation of the project.

#  2\. Data Management Plan – Overview

The DMP covers the complete research data cycle of MAGENTA as described in
Figure 1. In Step 1 of the DMP (Green oval in Figure 1). MAGENTA will produce
raw data (generated through measurements and simulations, collected through
market researching, etc.). The data will then be processed and analyzed into
more usable forms; i.e., reports, publishable documents, data tables, codes,
etc.). In Step 2 (blue oval), the data will be preserved using appropriate
naming rules and metadata schemes. The project’s _open access policy_ (see
following sections) will be applied to determine which datasets shall be made
accessible (share) for re-use in Step 3 (yellow oval). The publicly accessible
datasets will then be re-used by public for verification.

_Figure 1: Research data life-cycle (Adapted from _www.data-
archive.ac.uk/create-manage/life-cycle_ ) _

##  2.1. Research data types and open access policy of MAGENTA

MAGENTA will produce data in a wide range of R&D activities that are
summarized in the Table 1. Not that this list may require modifications
(addition or removal of datasets) in the later versions of the DMP depending
on the project developments. Once generated (or collected), these data will be
stored in several formats, which are: Documents, Images, Data, and Numerical
codes.

__Table 1: Types of data to be generated in MAGENTA_ _  
  
<table>  
<tr>  
<th>

</th>  
<th>

**Data description**

</th>  
<th>

**Main Partners**

</th>  
<th>

**WPs**

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

**1**

</td>  
<td>

Ionic liquids (IL)

</td>  
<td>

_SOLV_ , GUT, CNR

</td>  
<td>

WP2

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

**2**

</td>  
<td>

Magnetic nanoparticles and ferrofluid (MNP&FF)

</td>  
<td>

_CNR,_ CNRS, NCSRD

</td>  
<td>

WP3, WP5, WP6

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

**3**

</td>  
<td>

Magneto-Thermodiffusion (MTD)

</td>  
<td>

_CNRS,_ CNR, CEA

</td>  
<td>

WP4, WP6

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

**4**

</td>  
<td>

Magneto-Thermoelectric (MTE)

</td>  
<td>

_CEA_ , HESSO, GUT

</td>  
<td>

WP5, WP6

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

**5**

</td>  
<td>

Prototype (PT)

</td>  
<td>

_CFR_ , GEM, CTECH, CEA

</td>  
<td>

WP7

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

Among the datasets described in Table 1 above, following categories of outputs
are declared “ORDP” in the Grant Agreement (Annex 1, Part A, Section 1.3.2)
and will be made “Open Access” (to be provided free of charge for public
sharing). These will be included in the Open Research Data Pilot and thus be
managed according to the present DMP.

  * Public deliverables specifically declared as ‘ORDP’ in the grant agreement: 

    * D4.2: Database on MTD property in IL-FFs o D6.1: Single MNPs and FF structures 

  

    * D6.2: Molecular descriptor data base on IL and IL/FFs o D6.3: Analytical model on TE and TD effects 

  

  

  * Articles published in Open Access scientific journal 

  

  * Conference and Workshop abstracts/articles 

  

For all data types, the Consortium will examine the aspects of potential
conflicts against commercialization and the IPR protection issues of the
knowledge generated before deciding which information needs to be made public
and when. The decision process, summarized in the figure below, will be
overseen by the “Dissemination, Exploitation & Communication” subcommittee
headed by CTECH and CEA (see Project Management Plan, Deliverable identifier:
PMP-D.1.1-v1, submitted on February 28, 2017).

_Figure 2: Open access to research data and publication decision diagram (from
Guidelines to the Rules on Open Access to_

_Scientific publications and Open Access to Research Data in Horizon 2020)_

As stated in the Grant Agreement (Article 29.3) “As an exception, the
beneficiaries do not have to ensure open access to specific parts of their
research data if the achievement of the action's main objective would be
jeopardized by making those specific parts of the research data openly
accessible.” Such an exception applies to MAGENTA when the project findings
present high innovation level (possibility of commercialization, etc.). In
this case, the consortium will consider two forms of protection: 1) to
withhold the data for internal use or 2) to apply for a patent in order to
commercially exploit the invention and have in return financial gain. In the
former case, appropriate IPR protection measures (e.g., NDA) must be taken for
data sharing outside the consortium. In the latter case, publications will be
delayed until the patent filing is completed. Otherwise, the results will be
made “Open Access” by depositing the research data into an online repository
service (see Section data repository options) or by publishing in journals
(document, reports, articles, etc.) adhering to suitable “Open Access”
(‘green’ or ‘gold’). In parallel, public deliverables will be stored at one
(or both) of the following locations: The MAGENTA website
(https://www.magenta-h2020.edu) after approval by the consortium, and the
MAGENTA page on CORDIS website where all public deliverables submitted to the
European Commission are hosted.

In the following section, details on the five datasets identified in MAGENTA
are given. They will be updated as more data are produced in the project.

#  3\. Datasets

**3.1. Ionic liquids:**  
  
<table>  
<tr>  
<th>

**Data set reference and name***

</th>  
<th>

DS_IL

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

Purpose and relation to the objectives of the project *****

</td>  
<td>

The datasets include information on ionic liquid synthesis protocol, molecular
structure and physical property calculation results, property measurement
results. The data will be used for producing novel ionic liquid based
ferrofluids.

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

**Data types***

</td>  
<td>

Document, data, images, codes

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

**File formats***

</td>  
<td>

Documents and images: All common electronic document formats

(.docx, .pdf, .tex, etc.)

Data: text format tables that are readable by common data analysis software,
or encrypted for specific data treatment software (to be defined)

Numerical codes: written in programming languages such as

Fortran 77, Fortran 90, C, C  ++  , Perl and Bash

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

**Reuse of existing data***

</td>  
<td>

Processed and aggregated data will be shared by partners not collecting data
for the advancements of the project.

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

**Data production methods***

</td>  
<td>

The dataset will be generated by partner laboratories through experimental
trials, measurements, and numerical simulations.

The dataset will also include summaries of project meetings and discussions
between partners, and relevant publications in scientific journals.

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

Expected size of the data *****

</td>  
<td>

To be determined

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

Data utility *****

</td>  
<td>

The collected dataset will be used for identifying ionic liquids with optimal
thermoelectric properties. It will also be used to design and synthesize novel
ionic liquid based ferrofluids.

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

Potential for reuse*

</td>  
<td>

In addition to the project itself, the dataset will be useful for other
research groups working on related subjects in the area of ionic liquids.

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

**Diffusion principles***

</td>  
<td>

The dataset generated will be shared among project partners through private
section of MAGENTA website, as well as through

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

</td>  
<td>

a secure file-sharing platform CoRe (see section 4.2) overseen by CEA and
CTECH. Consortium will determine which data shall be made publicly available
according to Open Access Decision scheme (see Section 1). Institutional as
well as public data repositories (ZENODO) will be used along with open access
publications in scholarly journals.

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

##  3.1. Magnetic Nanoparticles and Ferrofluids  
  
<table>  
<tr>  
<th>

**Data set reference and name***

</th>  
<th>

DS_MNP&FF

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

Purpose and relation to the objectives of the project *****

</td>  
<td>

The datasets concerns various aspects of the magnetic nanoparticle

(MNP) synthesis and their dispersions in ionic liquids (ferrofluids, FF). Both
experimental and theoretical methods will be taken; which are,

  * Several magnetic materials to be used nanoparticles 

  

  * Surface coating methods 

  

  * Dispersion in ionic liquids (ferrofluids) and their stability 

  

(including the compatibility with redox couples)

  * Magnetic properties of MNPs and FFs 

  

  * Electrostatic nature of FFs 

  

  * Theoretical and numerical modelling of above results 

  

These datasets will guide researchers for identifying optimal ionic liquid-
based ferrofluids for their use as a magneto-thermoelectric liquid.

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

**Data types***

</td>  
<td>

Document, data, images, codes

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

**File formats***

</td>  
<td>

Documents and images: All common electronic document formats

(.docx, .pdf, .tex, etc.)

Data: text format tables that are readable by common data analysis software,
or encrypted for specific data treatment software (to be defined)

Numerical codes: written in programming languages such as use

Fortran (for the atomistic and mesoscopic simulations) and VASP (Vienna Ab-
initio Simulations Package) package for the electronic structure calculations,
etc.

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

**Reuse of existing data***

</td>  
<td>

Processed and aggregated data will be shared by partners not collecting data
for the advancements of the project.

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

**Data production methods***

</td>  
<td>

The dataset will be generated by partner laboratories through experimental
trials, measurements, and theoretical/numerical simulations.

The dataset will also include summaries of project meetings and discussions
between partners, and relevant publications in scientific journals.

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

Expected size of the data *****

</td>  
<td>

To be determined

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

Data utility *****

</td>  
<td>

The collected dataset will give a practical guide on which MNPs and their
coating conditions can be used to create stable IL-based FFs. These IL-FF’s
magnetic, physico-chemical and electrostatic nature will be compared to their
corresponding magnetothermodiffusion and magneto-thermoelectric properties.

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

Potential for reuse*

</td>  
<td>

As only few examples of IL-based ferrolfuids exist, the dataset will be useful
for other research groups trying to produce novel ILFFs.

The surface coating effect on magnetic properties of MNPs can also be
exploited in areas of research beyond thermoelectricity, such as hyperthermia.

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

**Diffusion principles***

</td>  
<td>

The dataset generated will be shared among project partners through the
private section of MAGENTA website, as well as through a secure file-sharing
platform CoRE (see Section 4.2) overseen by CEA and CTECH. Consortium will
determine which data shall be made publicly available according to Open Access
Decision scheme (see Section 1). Institutional as well as public data
repositories (Zenodo) will be used along with open access publications in
scholarly journals.

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

**3.1. Magneto-thermodiffusion:**  
  
<table>  
<tr>  
<th>

**Data set reference and name***

</th>  
<th>

DS_MTD

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

Purpose and relation to the objectives of the project *****

</td>  
<td>

The datasets are produced in 3 distinct areas.

  * Instrumental: High temperature Forced Rayleigh Scattering spectroscopy device development 

  

  * Experimental: MTD measurements on IL-FFs 

  

  * Theoretical: Analytical and numerical modelling of MNP movements under thermal gradient 

  

The thermodiffusion of MNPs is believed to play a key role in the production
of high thermoelectric coefficients in FFs. The purpose here is to
experimentally observe the MTD behavior of MNPs at high temperature and to
provide theoretical understanding of such phenomena.

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

**Data types***

</td>  
<td>

Documents, images, data, codes

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

**File formats***

</td>  
<td>

Documents and images: All common electronic document formats

(.docx, .pdf, .tex, etc.)

Data: text format tables that are readable by common data analysis software,
or encrypted for specific data treatment software (to be defined)

Numerical codes such as Mathematica and COMSOL will be used.

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

**Reuse of existing data***

</td>  
<td>

Processed and aggregated data will be shared by partners not collecting data
for the advancements of the project.

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

**Data production methods***

</td>  
<td>

The dataset will be generated by partner laboratories through experimental
trials, measurements, and theoretical calculations.

The dataset will also include summaries of project meetings and discussions
between partners, and relevant publications in scientific journals.

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

Expected size of the data *****

</td>  
<td>

To be determined

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

Data utility *****

</td>  
<td>

The collected dataset will be used compared to the MTE dataset in order to
understand the impact of MTD in increasing (or decreasing) the FF’s
thermoelectric efficiency. This and MTE datasets will then be used to identify
the optimal IL-FFs for the use in the prototype thermoelectric cells.

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

Potential for reuse*

</td>  
<td>

In addition to the project itself, the dataset will be useful for other
research groups working in the general field of colloids and nanofluids.

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

**Diffusion principles***

</td>  
<td>

The dataset generated will be shared among project partners through the
private section of MAGENTA website, as well as through a secure file-sharing
platform CoRE (see Section 4.2) overseen by CEA and CTECH. Consortium will
determine which data shall be made publicly available according to Open Access
Decision scheme (see Section 1). Institutional as well as public data
repositories (Zenodo) will be used along with open access publications in
scholarly journals.

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

**3.1. Magneto-thermoelectric:**  
  
<table>  
<tr>  
<th>

**Data set reference and name***

</th>  
<th>

DS_MTE

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

Purpose and relation to the objectives of the project *****

</td>  
<td>

The dataset also consists of 3 types of research works:

  * Instrumental: Development of high temperature and underfield thermoelectric property measurement cell for liquid materials 

  

  * Experimental: Magneto-thermoelectric property measurement results (Seebeck coefficient, capacitance, power output). 

  

  * Theoretical: analytical and numerical modelling of MTE phenomena in IL-FFs 

  

We aim to identify IL-FFs with optimal MTE performance and provide theoretical
understanding of observed phenomena. Stated as such, these are the 1  st  of
the 3 objectives of the project.

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

**Data types***

</td>  
<td>

Document, data, codes

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

**File formats***

</td>  
<td>

Documents: All common electronic document formats (.docx, .pdf,

.tex, etc.)

Data: text format tables that are readable by common data analysis software,
or encrypted for specific data treatment software (to be defined). Other
possible formats include: jpg (snapshots), mp4

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

</td>  
<td>

(simm. movies), png, tiff, xcf and svg (vector graphics)

Numerical codes: written in programming languages such as Fortran 77, Fortran
90, C, C  ++  , Perl and Bash.

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

**Reuse of existing data***

</td>  
<td>

Processed and aggregated data will be shared by partners not collecting data
for the advancements of the project, adhering to the access rights conditions
to results and background as described in the CA – Section 9

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

**Data production methods***

</td>  
<td>

The dataset will be generated by partner laboratories through experimental
trials, measurements, and numerical simulations.

The dataset will also include summaries of project meetings and discussions
between partners, and publications in scientific journals.

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

Expected size of the data *****

</td>  
<td>

To be determined

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

Data utility *****

</td>  
<td>

The collected dataset will be used for identifying IL-FFs with optimal
magneto-thermoelectric properties, to be tested in the prototype devices
within the project.

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

Potential for reuse*

</td>  
<td>

In addition to the project itself, the dataset will be useful for other
research groups working on related subjects such as thermogalvanic cells,
thermally charged ionic supercapacitors and electrochemical cells.

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

**Diffusion principles***

</td>  
<td>

The dataset generated will be shared among project partners through the
private section of MAGENTA website, as well as through a secure file-sharing
platform CoRE (see Section 4.2) overseen by CEA and CTECH. Consortium will
determine which data shall be made publicly available according to Open Access
Decision scheme (see Section 1). Institutional as well as public data
repositories (Zenodo) will be used along with open access publications in
scholarly journals

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

**3.1. Prototype:**  
  
<table>  
<tr>  
<th>

**Data set reference and name***

</th>  
<th>

DS_PT

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

Purpose and relation to the objectives of the project *****

</td>  
<td>

The datasets contain technical specifications of ‘prototype’ thermocells to be
produced in WP7. These include; feasibility assessments, device development,
validation, performance optimization and market research. These are one of the
final objectives of the project.

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

**Data types***

</td>  
<td>

Documents, images, data, codes and computer assisted drawings (CAD)

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

**File formats***

</td>  
<td>

Documents and images: All common electronic document formats

(.docx, .pdf, .tex, etc.)

Data: text format tables that are readable by common data analysis software,
or encrypted for specific data treatment software (to be defined).

CAD Formats (.dwg, .stp, .igs, etc)

Mesh file format for computational fluid dynamics (.msh, etc)

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

**Reuse of existing data***

</td>  
<td>

Processed and aggregated data will be shared by partners not collecting data
for the advancements of the project, adhering to the access rights conditions
to results and background as described in the CA – Section 9.

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

**Data production methods***

</td>  
<td>

The dataset will be generated by partner laboratories through experimental
trials, measurements, and numerical simulations.

The dataset will also include summaries of project meetings and discussions
between partners, as well as presentations at conferences, science fairs and
technological showcasing events.

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

Expected size of the data *****

</td>  
<td>

To be determined

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

Data utility *****

</td>  
<td>

The data generated within this dataset are likely to generate patents.

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

Potential for reuse*

</td>  
<td>

All reuse of data in DS_PT will be restricted whose terms and conditions to be
determined by the IPR team.

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

**Diffusion principles***

</td>  
<td>

The dataset generated will be shared among project partners through private
section of MAGENTA website, as well as through a secure file-sharing platform
CoRe, overseen by CEA and CTECH.

Deliverables associated to these datasets are declared

“confidential” in the Grant Agreement. Thus, the DS_Prototype will not be
shared with public, or with the third parties without proper licensing and
other IPR measures (ex. Non-disclosure Agreement).

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

</td>  
<td>

In case of diffusion (publications, demonstrations, etc.) the Consortium will
determine which data shall be made publicly available according to Open Access
Decision scheme (see Section 1). Once the Open Access decision is granted,
these data will be made public through data repositories (ZENODO) and/or open
access publications in scholarly journals.

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

#  4\. FAIR Data: common provision for datasets 1, 2, 3 and 4

The following FAIR methods to make MAGENTA’s data “findable, accessible,
interoperable and reusable” apply to Datasets 1 through 4. The deliverables
associated to the Prototype dataset are declared “confidential” in the Grant
Agreement. Thus, the DS_PT (prototype) will not be shared with public or with
the third parties without proper licensing and other IPR measures (ex. Non-
disclosure Agreement). If the Consortium determines that some parts of DS_PT
can be made publicly available, then they will comply with the provisions
described in this section.

##  4.1. Making data findable  
  
<table>  
<tr>  
<th>

**Metadata** *

</th>  
<th>

Metadata is data on the research data themselves. It enables other researchers
to find data in an online repository and is, as such, essential for the
reusability of the dataset. By adding rich and detailed metadata, other
researchers, can better determine whether the dataset is relevant and useful
for their own research. In the online depositories used by MAGENTA partners,
metadata (type of data, location, etc.) will be uploaded in a standardized
form. This metadata will be kept separate from the original raw research data.

As described in the project Grant Agreement (Article 29.2), the bibliographic
metadata include all of the following:

  * the terms “European Union (EU)” and “Horizon 2020”; 

  

  * the name of the action, acronym and grant number; 

  

  * the publication date, and length of embargo period if applicable 

  

  * a persistent identifier 

  

Note: All publications resulting from MAGENTA actions must acknowledge the
financial support by EU by the statement: “MAGENTA project has received
funding from the European Union’s Horizon 2020 research and innovation
programme under grant agreement No 731976.”

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

Persistent and unique identifier *****

(ex: DOI Digital Object Identifier)

</td>  
<td>

DOI and Creative Common’s license numbers will be used as persistent
identifiers on open data repositories.

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

Naming conventions* (see 1.1)

</td>  
<td>

Files and folders at data repositories will be versioned and structured by
using a name convention consisting of project name, dataset name and ID; ex.

“MAGENTA_DS_nn_au_cc_type_kw_mmyy_vn”, with the

following information listed in the title, in compliance with the project’s
PMP:

• nn = dataset name (IL, MNPFF, MTD, MTE, Proto)

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

</td>  
<td>

  * cc = CO or PU 

  

  * au = Author = Partner acronym 

  

  * type = data type (doc, img, data, etc.) 

  

  * kw = keyword (EMIMPF6, FF-BMIMTFI, etc.) 

  

  * mmyy = production date (0317 = March 2017) 

  

  * vn = version number (01.01, 03.01, etc) 

  

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

Search keywords *****

</td>  
<td>

Example keywords (will be modified with the project advancement)

DS_IL: Synthesis, simulation, structure

DS_MNP&FF: Synthesis, structure, magnetism, stability, simulation

DS_MTD: Device, Soret coefficient, Diffusion coefficient, field effect,
simulation, theory

DS_MTE: Thermogalvanic, Supercapacitance, theory, simulation, Power output

DS_PT: Device, feasibility, simulation, power output

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

Version numbers *****

</td>  
<td>

Individual file names will contain version numbers that will be incremented at
each revision.

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

**4.2. Making data accessible**  
  
<table>  
<tr>  
<th>

Data openly available*

</th>  
<th>

The MAGENTA project datasets will be first stored and organized in a database
by the data owners (personal computer, or on the institutional secure server)
and on the project database (project website’s private section and CoRe). Some
datasets, for which the Consortium declares no confidentiality or IPR issues,
will also be stored in ZENODO, the open access repository of the Open Access
Infrastructure

for Research in Europe (OpenAIRE)

In such case, data access policy will be unrestricted. An embargo period may
incur if collected datasets are linked to a green open access publication.

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

Tools to read or reuse data*

</td>  
<td>

Most data are produced in common electronic document/data/image formats
(.docx, .pdf, .tex, .jpg, .eps, ASCII etc.) that do not require specific
software.

Numerical codes may require specific compilers. (to be specified)

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

Ways to make data available*

</td>  
<td>

Data objects will be deposited in ZENODO by CTECH under:

  * Open access to data files and metadata and data files provided over standard protocols such as HTTP. 

  

  * Use and reuse of data permitted. 

  

To protect the copyright of the project knowledge, Creative Commons license
will be used in some cases.

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

**Data and publication repository***

</td>  
<td>

For preservation and sharing of internal data and datasets, MAGENTA will use:

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

</td>  
<td>

  * Individual researchers data storage media 

  

  * Partner’s individual institutions’ secure data repositories 

  

  * Project website’s private section 

  

( _https://www.magenta-h202.eu_ member only section)

  * Dedicated collaborative data/file sharing space on CoRe: The CoRe platform is a SharePoint based data/file sharing service administered by CNRS, Centre National de la Recherche Scientifique. CoRe guarantees service availability of 7 days/week and 24 h/day except during the blocking incident, and which will be reestablished within h+5. The service may be affected during the system maintenance period, which will be communicated to the users. 

  

For Open Access data and publications, MAGENTA will use:

  * MAGENTA website’s public section 

  

  * OpenAIRE 

  

  * ZENODO ( _https://zenodo.org_ ) for ORDP data and 

  

datasets

  * Open archive HAL-page dedicated to MAGENTA publications on HAL-CEA, a repository for selfarchiving of scientific publications of the CEA's researchers and laboratories and providing free access 

  

to articles, conferences, reports, thesis, etc. ( _https://halcea.archives-
ouverts.fr/HAL-MAGENTA/_ )

  * Other national or institutional open access archiving platforms used by consortium partners. The links 

  

toward these platforms (websites) will be included in the HAL-MAGENTA site
(see above)

  * Open access journals 

  

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

Access procedures*

</td>  
<td>

All data deposited on ZENODO will be accessible without restriction for
public. For other data, potential users must contact the IPR team or the data
owner in order to gain access. If necessary, appropriate IPR procedure (such
as non-disclosure agreement) will be used.

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

**4.3. Making data interoperable**  
  
<table>  
<tr>  
<th>

**Standards, vocabularies, or methodologies for data and metadata***

</th>  
<th>

Controlled vocabularies will be used in descriptive metadata fields to support
consistent, accurate, and quick indexing and retrieval of relevant data.
Keywords (see section 4.1) and their synonyms will be used for indexing and
subject headings of the data and metadata. As controlled vocabularies change
within different disciplines of Science, these keywords will be updated during
the course of the project to increase the interoperability of the project’s
data and metadata.

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

Inter-disciplinary interoperability *****

</td>  
<td>

In order to ensure the interoperability, all datasets will use the same
standards for data and metadata capture/creation

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

**4.4. Increase data re-use**  
  
<table>  
<tr>  
<th>

Data licensing*

</th>  
<th>

Creative Common Licensing with be used to protect the ownership of the
datasets. Both Share-Alike and

NonCommercial-ShareAlike licenses will be considered for the parts of datasets
for which the decision of making that part public has been made by the
Consortium.

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

Date of data release*

</td>  
<td>

Immediately after the Consortium decision to make data OpenAccess. However, an
embargo period may be applied if the data (or parts of data) are used in
published articles in “Green” open access scholarly journals. The recommended
maximum embargo period length by European Commission is 6 months.

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

Access to third parties*

</td>  
<td>

For datasets deposited on a public data repository (ZENODO) the access is
unlimited.

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

**Restricted re-use : exception to the general diffusion principles***

</td>  
<td>

Restrictions on re-use policy are applied for all protected data (see Figure
2: Open access to research data and publication decision diagram), whose re-
use will be limited within the project partners.

Other restrictions include:

  * The “embargo” period imposed by scholarly journals publication policy (Green Open access) 

  

  * Some or all of the following restrictions may be applied with Creative Commons licensing of the dataset: 

    * Attribution: requires users of the dataset to give appropriate credit, provide a link to the license, and indicate if changes were made. 

  

    * NonCommercial: prohibits the use of the dataset for commercial purposes by others. 

  

    * ShareAlike: requires the others to use the same license as the original on all derivative works based on the original data. 

  

  

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

Data quality assurance processes*

</td>  
<td>

Quality and Risk committee (composed of WP leaders) holds monthly video-
conference meeting to ensure the proper conduct of project’s data management.

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

Length of time for reuse*

</td>  
<td>

At least  1  years after the project.

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

Costs for making data FAIR and how to cover these costs*

</th>  
<th>

•

</th>  
<th>

Fees associated with the publication of scientific articles containing
project’s research data in “Gold” Open access journals. The cost sharing, in
case of multiple authors, shall be decided among the authors on a case-by-case
basis.

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

</td>  
<td>

•

</td>  
<td>

Project Website operation: to be determined

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

</td>  
<td>

•

</td>  
<td>

Data archiving at ZENODO: free of charge

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

</td>  
<td>

• Copyright licensing with Creative Commons: free of charge

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

**Data manager responsible during the project** *

</td>  
<td>

During the project data will be updated regularly as new results are submitted
by partners. The data/metadata on a CoRe server will be backed up monthly.

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

**Responsibilities of partners**

</td>  
<td>

Every partner is responsible for the data they produce. Any fee incurred for
Open Access through scientific publication of the data will be the
responsibility of the data owner (authors) partner(s) in compliance with the
CA, Article 8.4.2.1: During the Project and for a period of 5 years after the
end of the Project, the dissemination of own Results by one or several Parties
including but not restricted to publications and presentations, shall be
governed by the procedure of Article 29.1 of the Grant Agreement subject to
the following provisions. etc...

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

Potential value of long term preservation*

</td>  
<td>

To be determined

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

Costs of long term preservation*

</td>  
<td>

Data preservation of at least 5 years after the project is required by the
Grant Agreement (Article 31.3). The associated costs for dataset preparation
for archiving will be covered by the project itself. Long-term preservation
will be provided and associated costs covered by a selected disciplinary
repository.

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

#  6\. Archiving and preservation  
  
<table>  
<tr>  
<th>

Data at the end of the project

</th>  
<th>

January 1  st  , 2021

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

Data selection*

</td>  
<td>

To be decided by the Consortium at the end of the project

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

Estimated final volume

</td>  
<td>

To be determined

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

Recommended preservation duration*

</td>  
<td>

The MAGENTA project database will be designed to remain operational for at
least 5 years after the project end.

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

Long term preservation storage*

</td>  
<td>

The final dataset will be transferred to the ZENODO repository, which ensures
sustainable archiving of the final research data. Additional data storage will
be ensured by individual partner institution’s data repositories and at CoRe.

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

#  7\. Data security*  
  
<table>  
<tr>  
<th>

Provisions for data security*

</th>  
<th>

MAGENTA will use methods that emphasize easy access and extended contact and
trust building among participants. The following guidelines will be followed
in order to ensure the security of the data:

• Store data in at least two separate locations to avoid loss of data;

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

</td>  
<td>

  * Encrypt data if it is deemed necessary by the participating researchers; 

  

  * Limit the use of USB flash drives; 

  

  * Label files in a systematically structured way in order to ensure the coherence of the final dataset. 

  

  * The CoRe platform offered by CNRS guarantees service availability of 7 days/week and 24 h/day except during the blocking incident, and which will be reestablished within h+5. The service may be affected during the system maintenance period, which will be communicated to the users. 

  

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

Security of long term preservation*

</td>  
<td>

Long term data preservation security will be ensured by partner institution’s
data repositories.

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

#  8\. Ethical aspects*  
  
<table>  
<tr>  
<th>

Impact of ethical or legal issues*

</th>  
<th>

No ethical issue has been identified.

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

**9\. Other issues***

</td>  
<td>

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

Other data management procedures*

</td>  
<td>

No other issues to report at this time.

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