#  INTRODUCTION

This report describes the Data Management Plan (DMP) for the CarE-Service
Project. The report aims at establishing the policy framework for information
management and confidentiality within the CarE-Service consortium, the members
of the Consumers’ and Stakeholders Committees, as well as external
stakeholders. The policy framework for data management includes principles
ensuring the effective management and confidentiality of data, information and
records throughout the related authorities and responsibilities. The main
purpose of the data/information management policy is to protect both
electronic and paper-version of data/information from any unauthorized use and
access with a clear role and responsibilities of those who manage the
data/information, while ensuring the greatest possible access of
data/information, consistent with legislation and relevant EU/consortium
policies. Detailed information will be provided on the procedures that will be
implemented for data collection, storage, protection, retention and
destruction and confirmation that they comply with national (eg.
Bundesdatenschutzgesetz (BDSG) for Germany) and EU legislation (Regulation
(EU) 2016/679 (General Data Protection Regulation)).

The DMP describes the data management life cycle for the data to be collected,
processed and/or generated by CarE-Service Horizon 2020 project. As part of
making research data findable, accessible, interoperable and re-usable (FAIR),
the DMP includes information on:

  * the handling of research data during & after the end of the project 

  

  * what data will be collected, processed and/or generated 

  

  * which methodology & standards will be applied 

  

  * whether data will be shared/made open access and 

  

  * how data will be curated & preserved (including after the end of the project). 

  

**BENEFICIARIES’ REPRESENTATIVES FOR THE DATA MANAGEMENT OF THE PROJECT.**  
  
<table>  
<tr>  
<th>

**Full name**

</th>  
<th>

**Short name**

</th>  
<th>

**Contact person – DM Representatives**

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

CONSIGLIO NAZIONALE DELLE RICERCH

</td>  
<td>

CNR

</td>  
<td>

Via A. Corti 12, Milano, 20133, Italy

Giacomo Copani: _giacomo.copani@stiima.cnr.it_

Marcello Colledani: _marcello.colledani@polimi.it_

Sarah Behnam: _sarah.behnam@stiima.cnr.it_

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

LINKOPINGS UNIVERSITET

</td>  
<td>

LIU

</td>  
<td>

Campus Valla, Linköping, 58183, Sweden

Erik Sundin: _erik.sundin@liu.se_

Christian Kowalkowski: _christian.kowalkowski@liu.se_

Brenda Nansubuga: _Brenda.nansubuga@liu.se_

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

ENVIROBAT ESPANA SL

</td>  
<td>

ENV

</td>  
<td>

Avda. Lyon, 10, Azuqueca de Henares, 19200, Spain

Juan Manuel Pérez: _jm.perez@envirobat.es_ Celia Rosillo:
_laboratorio@envirobat.es_

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

PRODIGENTIA - TECNOLOGIAS DE INFORMACAO SA

</td>  
<td>

PROD

</td>  
<td>

Rua Miguel Torga, Edifício Espaço Alfragide, 2C,

Alfragide, 2610-086, Portugal

Luis Domingues: _luis.domingues@prodigentia.com_

Pedro Farinha: _pedro.farinha@prodigentia.com_

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

AGENCIA ESTATAL CONSEJO

SUPERIOR DEINVESTIGACIONES CIENTIFICAS

</td>  
<td>

CSIC

</td>  
<td>

Calle Serrano 117, Madrid, 28006, Spain

Félix A. López: _f.lopez@csic.es_

Olga Rodriguez: _olga.rodriguez@csic.es_

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

CIRCULAR ECONOMY SOLUTIONS GMBH

</td>  
<td>

CECO

</td>  
<td>

Greschbachstr. 3, 76229, Karlsruhe, Germany Markus Wagner:
_markus.wagner@c-eco.com_ Konstantinos Georgopoulos:
_konstantinos.georgopoulos@c-eco.com_ Dominik Kuntz: _dominik.kuntz@c-eco.com_
_horizon2020@c-eco.com_

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

COBAT, CONSORZIO NAZIONALE RACCOLTAE RICICLO

</td>  
<td>

COBAT

</td>  
<td>

Via Vicenza, 29, Rome, 00185, Italy Luigi De Rocchi: _l.derocchi@cobat.it_

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

FIAT CHRYSLER AUTOMOBILES ITALY SPA

</td>  
<td>

FCA

</td>  
<td>

Corso Giovanni Agnelli 200, Torino, 10135, Italy

Alessandro Levizzari: _alessandro.levizzari@fcagroup.com_

Erica Anselmino: _erica.anselmino@fcagroup.com_

Francesco Bonino: _francesco.bonino@fcagroup.com_

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

RADICI NOVACIPS SPA

</td>  
<td>

RAD

</td>  
<td>

Via Bedeschi 20, Chignolo D'Isola, 24040, Italy

Erico Spini: _erico.spini@radicigroup.com_

Riccardo Galeazzi: _riccardo.galeazzi@radicigroup.com_

Carlo Grassini: _carlo.grassini@radicigroup.com_

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

IMA MATERIALFORSCHUNG UND ANWENDUNGSTECHNIK GMBH

</td>  
<td>

IMA

</td>  
<td>

Wilhelmine Reichard Ring 4, Dresden, 01109, Germany

Silvio Nebel: _silvio.nebel@ima-dresden.de_

Jens Ridzewski: _jens.ridzewski@ima-dresden.de_

Jens Hornschuh: _jens.hornschuh@ima-dresden.de_

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

FRAUNHOFER GESELLSCHAFT ZUR

FOERDERUNG DER

ANGEWANDTEN FORSCHUNG E.V.

</td>  
<td>

Fraunhofer

</td>  
<td>

Reichenhainer Straße 88, Chemnitz, 09126, Germany

Katja Haferburg: _katja.haferburg@iwu.fraunhofer.de_

Thomas Hipke: _thomas.hipke@iwu.fraunhofer.de_

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

AVICENNE DEVELOPPEMENT

</td>  
<td>

AVIC

</td>  
<td>

42 rue de la Grande Armée, 75017, Paris, France

Christophe Pillot: _c.pillot@avicenne.com_

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

CIA AUTOMATION AND ROBOTICS SRL

</td>  
<td>

CIA

</td>  
<td>

Via San Carlo 16, Albiate, 20847, Italy

Enrico Novara: _enrico.novara@ciaautomazione.it_

Angelo Galimberti: _angelo.galimberti@ciarobotics.it_

Matteo Giussani: _matteo.giussani@ciarobotics.it_

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

E-VAI SRL

</td>  
<td>

EVAI

</td>  
<td>

Piazza Cadorna, 14, Milano, 20100, Italy

Alessandra Melchioni: _alessandra.melchioni@fnmgroup.it_ Mauro Buzzi Reschini:
_mauro.buzzi@e-vai.com_

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

JRC -JOINT RESEARCH

CENTREEUROPEAN COMMISSION

</th>  
<th>

JRC

</th>  
<th>

Rue de la Loi 200, Brussels, 1049, Belgium

Fabrice Mathieux: _fabrice.mathieux@ec.europa.eu_

Fulvio Ardente: _fulvio.ardente@ec.europa.eu_

Paolo Tecchio: _paolo.tecchio@ec.europa.eu_

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

#  DATA POLICY \- GENERAL AND PERSONAL DATA PROTECTION

During the project data will be collected from or generated by several
sources. For research purposes, CarE-Service project may contain and process
personal data from various sources (e.g. interviews, questionnaires, online
ICT platforms and websites, etc.). Additionally, personal data of the project
participants may be collected during meetings, workshops, on social media
platforms etc. in the form of photos, videos, names, etc., for research,
promotion or other purposes of the project. “Personal data” means information
relating to an identified or identifiable natural person.

An identifiable natural person is one who can be identified, directly or
indirectly, in particular by reference to an identifier such as a name, an
identification number, location data, an online identifier or to one or more
factors specific to the physical, physiological, genetic, mental, economic,
cultural or social identity of that natural person, Article 4 EU General Data
Protection Regulation (GDPR).

Examples: name, address, identification number, pseudonym, occupation, e-mail,
location data, Internet Protocol (IP) address, cookie ID, phone number, data
provided by smart meters, etc.

Individuals are not considered “identifiable” if identifying them requires
excessive effort.

Completely anonymized data does not fall under the data privacy rules (from
the moment it has been completely anonymized).

“Processing of personal data” means any operation (or set of operations)
performed on personal data, either manually or by automatic means. This
includes:

  * collection (digital audio recording, digital video caption, etc.) 

  

  * recording 

  

  * organization, structuring & storage (cloud, LAN or WAN servers) 

  

  * adaptation or alteration (merging sets, amplification, etc.) 

  

  * retrieval & consultation 

  

  * use 

  

  * disclosure by transmission, dissemination or otherwise making available (share, exchange, transfer) 

  

  * alignment or combination 

  

  * restriction, erasure or destruction. 

  

Examples: access to/consultation of a database containing personal data;
managing of the database; posting/putting a photo of a person on a website;
storing IP addresses or MAC addresses; video recording (CCTV); creating a
mailing list or a list of participants.

Processing normally covers any action that uses data for research purposes
(even if interviewees, human volunteers, patients, etc. are not actively
included in the research).

Personal data may come from any type of research activity (ICT research),
personal records (financial, criminal, education, etc.), lifestyle and health
information, physical characteristics, gender and ethnic background, location
tracking and domicile information, etc.

All research processes and all the project activities (meetings, publications,
etc.) for the CarEService project must comply with ethical principles and all
the applicable international, EU and national law (in particular the GDPR,
national data protection laws and other relevant legislation).

##  PRE-SCREENING

For the first stage, there is a pre-screening process of personal data. The
one who collects the data must be able to answer the following questions and
to act properly with the following instructions.

  1. Does your research involve processing of personal data? If yes, in that case the partner must provide detailed information such as: 

     * Details of the technical and organizational measures to safeguard the rights of the research participants. 

  

     * Details of the informed consent procedures. 

  

     * Details of the security measures to prevent unauthorized access to personal data. 

  

     * Details of “data minimization principle” (processing only relevant data and limiting the processing to the purpose of the project). 

  

     * Details of the anonymization /pseudonymization techniques. 

  

     * Justification in case research data will not be anonymized/ pseudonymized (if relevant). 

  

     * Details of the data transfers (type of data transferred and country to which it is transferred – for both EU and non-EU countries). 

  

  

  

Additionally, documents should be kept on file, such as Informed Consent Forms
and Information Sheets used (if relevant) (D10.1).

In case that the research involves processing of personal data, the partner
should be able to reply to the following question(s) and to act properly with
the following instructions.

  2. Does it involve the processing of special categories of personal data (e.g. genetic, health, sexual lifestyle, ethnicity, political opinion, religious or philosophical conviction)? 

  

  

In that case the partner must provide detailed information such as:

  * Justification for the processing of special categories of personal data. 

  

  * Justification in case research objects will not be anonymized/ pseudonymized (if applicable) 

  

  3. Does it involve processing of genetic, biometric or health data? 

  

  

A declaration confirming compliance with the laws of the country where the
data was collected should be kept on file.

  4. Does it involve profiling, systematic monitoring of individuals or processing of large scale of special categories of data, intrusive methods of data processing (such as tracking, surveillance, audio and video recording, geolocation tracking etc.) or any other data processing operation that may result in high risk to the rights and freedoms of the research participants? 

  

  

In that case the partner must provide detailed information such as:

  * Details of the methods used for tracking, surveillance or observation of participants. 

  

  * Details of the methods used for profiling. 

  

  * Risk assessment for the data processing activities. 

  

  * Details of safeguarding the rights of the research participants. 

  

  * Details on the procedures for informing the research participants about profiling, and its possible consequences and the protection measures. 

  

Data protection impact assessment (art. 35 GDPR) must be provided.

  5. Does your research involve further processing of previously collected personal data (including use of preexisting data sets or sources, merging existing data sets)? 

  

  

In that case the partner must provide detailed information such as:

  * Details of the database used or of the source of the data. 

  

  * Details of the data processing operations. 

  

  * Details of safeguarding the rights of the research participants. 

  

  * Details of “data minimization principle” (processing only relevant data and limiting the processing to the purpose of the project). 

  

  * Justification in case research objects will not be anonymized/ pseudonymized (if applicable) 

  

Additionally, documents should be kept on file, such as 1) Declaration
confirming lawful basis for the data processing, 2) Permission by the
owner/manager of the data sets (e.g. social media databases) (if applicable),
3) Informed Consent Forms + Information Sheets + other consent documents (opt
in processes, etc.) (if applicable).

  6. Does your research involve publicly available data? 

  

  

In that case the partner must confirm that the data used in the project is
publicly available and can be freely used for the project.

Additionally, documents should be kept on file, such as permission by the
owner/manager of the data sets (e.g. social media databases) (if applicable).

  7. Is it planned to export personal data from the EU to non-EU countries? Specify the type of personal data and countries involved. 

  

  

In that case the partner must provide detailed information such as the details
of the types of personal data to be exported. Also, the details of
safeguarding the rights of the research participants must be described.

Additionally, documents should be kept on file, such as a declaration of
confirming compliance with Chapter V of the GDPR.

  8. Is it planned to import personal data from non-EU countries into the EU? Specify the type of personal data and countries involved. 

  

  

In that case the partner must provide detailed information such as the details
of the types of personal data to be imported.

Additionally, documents should be kept on file, such as a declaration of
confirming compliance with the laws of the country in which the data was
collected.

##  RISK ANALYSIS FOR ALL DATA PROCESSING ACTIVITIES

All single processing activities of personal data must be listed in overview
(independent from criticality of the personal data). The list must be created,
maintained and updated by the data controller.

The overview will be the basis for the risk analysis.

For all processing activities of personal data the following information is
required:

  * Processing activity 

  

  * Description of the processing activity 

  

  * Data Types and contained data (e.g. personal data, financial data, working data, …) 

  

  * Legal basis for the processing activity 

  

  * Responsible of the processing activity (Person, Position, Company) 

  

  * Purpose of the processing activity 

  

  * Affected parties of the processing activity 

  

  * Criticality of the processing activity (in terms of confidentiality, availability and integrity) 

  

  * Deletion period of the processing activity 

  

On each processing activity the risk analysis must be applied.

Following details need to be described and evaluated:

  * Risk description (e.g. unauthorized access to personal data) 

  

  * Potential harm for affected party 

  

  * Description of technical and organizational measures 

  

  * Classification of risk in dependency on probability and severity of risk (e.g. low, medium, high, …) 

  

  * Risk handling (e.g. accept risk, moderate or eliminate risk probability by implementing additional measures, …) 

  

  * Re-classification of risk in dependency on probability and severity of risk (e.g. low, medium, high, …) in case additional measures will be implemented 

  

##  ANONYMIZATION AND PSEUDONYMIZATION

Under these rules, all the collected personal data must be processed in
accordance with certain principles and conditions that aim to limit the
negative impact on the persons concerned and ensure fairness, transparency and
accountability of the data processing, data quality and confidentiality. As
described in Deliverable 10.1, CarE-Service does not intend to collect, store
and/or process sensitive data (health, genetic or biometric data). CarE-
Service may collect, store and monitor both “anonymous” and “non-anonymous”
non-sensitive personal data.

This implies the following main obligations for all the participants:

  * Data processing should be subject to appropriate safeguards. 

  

  * Data should, wherever possible, be processed in anonymized or pseudonymized form (D10.1, Chapter 2). 

  

  * Data processing is subject to free and fully informed consent of the persons concerned (unless already covered by another legal basis, e.g. legitimate or public interest). 

  

  * Data processing must NOT be performed in secret and research participants must be made aware that they take part in a research project and be informed of their rights and the potential risks that the data processing may bring. 

  

  * Data may be processed ONLY if it is really adequate, relevant and limited to what is necessary for the research (‘data minimization principle’). 

  

Collection of personal data (e.g. on religion, sexual orientation, race,
ethnicity, etc.) is not essential and relevant with the scope of the research
and the project, therefore the collection of sensitive personal data is not
permitted.

It is recommended all participants or partners use anonymized or pseudonymized
data for project purposes.

“Anonymized” means that the data has been rendered anonymous in such a way
that the data subject can no longer be identified (and therefore is no longer
personal data and thus outside the scope of data protection laws).

_Figure 1: Anonymization (Source: www.wso2.com, 2018)_

Anonymization also helps in making research data and project results FAIR,
without providing personal data (Figure 2) (FAIR: see Chapter 6).

_Figure 2: Anonymization of personal data (Source: OpenAIRE, 2017)_

“Pseudonymized” means to divide the data from its direct identifiers so that
linkage to a person is only possible with additional information that is held
separately. The additional information must be kept separately and securely
from processed data to ensure non-attribution.

_Figure 3: Pseudonymization, (Source: www.wso2.com, 2018)_

It is recommended to involve the data protection officer (DPO) in all stages
of the project whenever data privacy issues arise.

Even if all privacy-related issues are addressed, research data may still
raise other ethics issues, such as the potential misuse of the research
methodology/ findings or ethics harms to specific groups.

#  DATA SUMMARY

The main purpose for the data collection/generation of the CarE-Service
project is for the description of new circular economy business models in
innovative hybrid and electric mobility through advanced reuse and
remanufacturing technologies and services.

The CarE-Service project will produce several datasets during the lifetime of
the project. All the data which will be collected will be relevant to the
purposes of the projects, such as the establishment of circular economy
business models, the development of the Smart Mobile Modules, the creation of
customer-driven products and the development and validation of technical
solutions for reused, remanufactured and recycled components and the
evaluation of these business models through demonstration and life cycle
assessment (LCA).

All the collected or generated data will be analyzed and evaluated from a
range of methodological perspectives for project development and engineering
and scientific purposes.

A range of data will be created during the project. These will be available in
a variety of easily accessible formats, including Documents (Word) (DOCX),
Spreadsheets (Excel) (XLSX, CSV), Presentation files (Power Point) (PPT),
PostScript (PDF, XPS), images, audio and video files (JPEG, PNG, GIF, TIFF,
WAV, MPEG, AIFF, OGG, AVI, MP4), Technical CAD drawings (DWG), Origin (OPJ),
compressed formats (TAR.GZ, MTZ), Program database (PDB, DBS, MDF, NDF), etc.
(see Table 5-1).

As no comparable data are available for secondary analysis at the moment, it
is planned to make our dataset publicly available in a research data
repository. Apart from the research team, the dataset will be useful for other
research groups working on eco-innovative circular economy business models on
large scale demonstration projects.

The following table contains all the datasets that will be generated during
the project. The expected size of the datasets produced will be between 5MB
and 1GB.

For every dataset which will be generated for a task, the leading partner of
the task will be the Master of Data. The Master of Data will be responsible
for the collection of the data from the other partners, the file and sharing
actions among the consortium, the creation of the linked metadata files and
also the activities for the publish of the data, e.g. on Zenodo platform.

_Table 5-1: Potential Datasets_  
  
<table>  
<tr>  
<th>

**Potential datasets – Description**

</th>  
<th>

**Format**

</th>  
<th>

**Dissemination level**

</th>  
<th>

**Master of Data**

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

**WP1 - Requirements for new business models, services, demonstrators and
KPIs**

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

1

</td>  
<td>

Task 1.1.a

</td>  
<td>

Survey for deriving detailed information about mobility usage and needs,
limitations of current E&HEVs offerings, acceptance criteria, etc., from
various groups of customers in Europe.

</td>  
<td>

DOCX, XLSX, CSV, PDF

</td>  
<td>

Public

</td>  
<td>

LIU

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

2

</td>  
<td>

Task 1.1.b

</td>  
<td>

Case study interviews of the main players of the future re-use chains, both in
the automotive and nonautomotive sectors for the creation of KPIs on the new
industrial circular business models

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

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

3

</td>  
<td>

Task 1.2.a

</td>  
<td>

Technical requirements and KPIs for new re-use processes and technologies for
batteries in re-use value chains

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CNR

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

4

</td>  
<td>

Task 1.2.b

</td>  
<td>

Technical requirements and KPIs for new re-use processes and technologies for
metals re-use value chains

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

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

5

</td>  
<td>

Task 1.2.c

</td>  
<td>

Technical requirements and KPIs for new re-use processes and technologies for
polymers re-use value chains

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

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

6

</td>  
<td>

Task 1.2.d

</td>  
<td>

Technical requirements and KPIs for new re-use processes and technologies for
batteries in re-use value chains

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

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

7

</td>  
<td>

Task 1.2.e

</td>  
<td>

Technical requirements and KPIs for new re-use processes and technologies for
metals re-use value chains

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

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

8

</td>  
<td>

Task 1.2.f

</td>  
<td>

Technical requirements and KPIs for new re-use processes and technologies for
polymers re-use value chains

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

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

9

</td>  
<td>

Task 1.3

</td>  
<td>

Questionnaire and interview regarding the technical requirements of the ICT
Platform and information associated to reusable E&HEVs products.

</td>  
<td>

DOCX, XLSX,

CSV, PDF, PPT

</td>  
<td>

Confidential

</td>  
<td>

PROD

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

10

</td>  
<td>

Task 1.4

</td>  
<td>

Requirements for generalization of the approach to EU industry

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

</td>  
<td>

FCA

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

**WP2 - New circular economy business models and service engineering**

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

11

</td>  
<td>

Task 2.1

</td>  
<td>

Customer’s requirements and mobility needs considered on a geographic
perspective

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CNR

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

12

</td>  
<td>

Task 2.2.a

</td>  
<td>

Workshop notes and results

</td>  
<td>

DOCX, XLSX, PDF, PPTX

</td>  
<td>

Confidential

</td>  
<td>

LIU

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

13

</td>  
<td>

Task 2.2.b

</td>  
<td>

Interviews of the SG for external complementary knowledge

</td>  
<td>

DOCX, XLSX,

CSV, PDF, PPTX

</td>  
<td>

Confidential

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

14

</td>  
<td>

Task 2.3.a

</td>  
<td>

Risk management – interviews to partners and members of the project SG

</td>  
<td>

DOCX, XLSX,

CSV, PDF, PPTX

</td>  
<td>

Public

</td>  
<td>

AVIC

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

15

</td>  
<td>

Task 2.3.b

</td>  
<td>

Desk analysis to collect quantitative information useful to
describe/prioritize risks and side effects

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

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

16

</td>  
<td>

Task 2.4.a

</td>  
<td>

Socio-economic simulation of new services and business models

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CNR

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

17

</th>  
<th>

Task 2.4.b

</th>  
<th>

Socio-economic simulation of new services and business models

</th>  
<th>

DOCX, XLSX, PDF

</th>  
<th>

Public

</th>  
<th>

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

**WP3 - Customer-driven products re- design for circular economy**

</td>  
<td>

</td>  
<td>

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

18

</td>  
<td>

Task 3.1

</td>  
<td>

Big data from the use phase of products can be collected from different
stakeholders and analyzed to understand main uses and attitudes, thus
suggesting design innovations

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Public

</td>  
<td>

LIU

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

19

</td>  
<td>

Task 3.2.a

</td>  
<td>

Redesign of batteries of E&HEVs in order to allow their re-use

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

</td>  
<td>

FCA

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

20

</td>  
<td>

Task 3.2.b

</td>  
<td>

Redesign of metals of E&HEVs in order to allow their re-use

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

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

21

</td>  
<td>

Task 3.2.c

</td>  
<td>

Redesign of techno-polymers of E&HEVs in order to allow their re-use

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

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

22

</td>  
<td>

Task 3.3.a

</td>  
<td>

Creation of prototypes for batteries

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

</td>  
<td>

Fraunhofer

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

23

</td>  
<td>

Task 3.3.b

</td>  
<td>

Creation of prototypes for polymeric materials

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

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

24

</td>  
<td>

Task 3.3.c

</td>  
<td>

Creation of virtual mock-up models, in case of parts (i.e. structural metal
components) would require high investment for prototyping.

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

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

25

</td>  
<td>

Task 3.4

</td>  
<td>

Testing and validation of re-designed products concepts

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

</td>  
<td>

IMA

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

**WP4 - Engineering and development of the Smart Mobile Modules**

</td>  
<td>

</td>  
<td>

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

26

</td>  
<td>

Task 4.1

</td>  
<td>

Detailed engineering of processes and technologies performed by Smart Mobile
Modules.

</td>  
<td>

DOCX, XLSX, PDF, JPG

</td>  
<td>

Confidential

</td>  
<td>

CNR

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

27

</td>  
<td>

Task 4.2

</td>  
<td>

Development, testing and validation of the smart disassembly module.

</td>  
<td>

DOCX, XLSX,

PDF,STP,

DWG,JPG

</td>  
<td>

Confidential

</td>  
<td>

CIA

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

28

</td>  
<td>

Task 4.3

</td>  
<td>

Performing tests (electrical tests, load tests on components, vibration tests,
visual inspection tests, etc.)

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

IMA

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

29

</td>  
<td>

Task 4.4

</td>  
<td>

Operational business model of the Smart Mobile Modules (SMMs)

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CNR

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

**WP5 - Development and validation of technical solutions for components re-
use, remanufacturing and recycling**

</td>  
<td>

</td>  
<td>

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

30

</td>  
<td>

Task 5.1.a

</td>  
<td>

Batteries cells re-use: Standard Operational Sheet (SOS)

</td>  
<td>

DOCX, XLSX,

</td>  
<td>

Confidential

</td>  
<td>

CNR

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

</th>  
<th>

</th>  
<th>

</th>  
<th>

PDF

</th>  
<th>

</th>  
<th>

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

31

</th>  
<th>

Task 5.1.b

</th>  
<th>

Batteries recycling: Suitable processes based on the combination of mechanical
(e.g. shredding and mechanical separation) and chemical (e.g.
hydrometallurgical) technologies will be engineered.

</th>  
<th>

DOCX, XLSX, PDF

</th>  
<th>

Confidential

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

32

</td>  
<td>

Task 5.2

</td>  
<td>

Detailed engineering of processes and technologies for metal parts re-use and
remanufacturing solutions

</td>  
<td>

DOCX, XLSX, PDF,

</td>  
<td>

Confidential

</td>  
<td>

Fraunhofer

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

33

</td>  
<td>

Task 5.3

</td>  
<td>

Detailed engineering of processes and technologies for techno-polymers re-use
and recycling solutions

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CSIC

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

34

</td>  
<td>

Task 5.4.a

</td>  
<td>

Testing and validation will be performed considering different conditions of
batteries (new, aged, defected, damaged and used); and

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

</td>  
<td>

ENV

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

35

</td>  
<td>

Task 5.4.b

</td>  
<td>

Testing and validation will be performed considering different battery modules
design and type;

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

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

36

</td>  
<td>

Task 5.4.c

</td>  
<td>

Testing and validation will be performed considering different levels of
residual charge and estimated remaining life cycles;

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

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

37

</td>  
<td>

Task 5.4.d

</td>  
<td>

Testing and validation will be performed considering different chemistry.

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

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

38

</td>  
<td>

Task 5.5

</td>  
<td>

Mechanical tests, such as tensile, compression, bending, or torsion tests will
be performed to determine remanufactured parts properties etc. and results.

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Confidential

</td>  
<td>

Fraunhofer

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

39

</td>  
<td>

Task 5.6

</td>  
<td>

Mechanical stress testing, aesthetical features evaluation, corrosion/chemical
testing and results.

</td>  
<td>

DOCX, XLSX,

PDF, DWG,

STEP, DAF,

DOF,JPG,

TXT, CSV

</td>  
<td>

Confidential

</td>  
<td>

RAD

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

**WP6 - Development of CarE-Service ICT Platform and logistics**

</td>  
<td>

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

40

</td>  
<td>

Task 6.1.a

</td>  
<td>

Design of CarE-Service logistics

</td>  
<td>

DOCX, XLSX,

PDF, DWG

#GIS

</td>  
<td>

Confidential

</td>  
<td>

COBAT

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

41

</td>  
<td>

Task 6.1.b

</td>  
<td>

Simulation algorithms for design optimal reverse logistics infrastructure

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

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

42

</td>  
<td>

Task 6.2

</td>  
<td>

Design of the CarE-Service ICT Platform

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

PROD

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

43

</td>  
<td>

Task 6.3

</td>  
<td>

Implementation and testing of the CarE-Service Platform - list of issues and
new needs to be added to the development backlog/ report

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

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

44

</td>  
<td>

Task 6.4

</td>  
<td>

Operational business model of the CarE-Service ICT Platform

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CECO

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

**WP7 - Demonstration & LCA assessment **

</th>  
<th>

</th>  
<th>

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

45

</td>  
<td>

Task 7.1.a

</td>  
<td>

Users’ comments and feedback

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

</td>  
<td>

EVAI

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

46

</td>  
<td>

Task 7.1.b

</td>  
<td>

Realistic data/ Real time data from 50+ customers/users from the limited pilot
experience

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

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

47

</td>  
<td>

Task 7.2.a

</td>  
<td>

Demonstration of Smart Mobile Modules and services

</td>  
<td>

DOCX, XLSX, PDF, DWG

</td>  
<td>

Public

</td>  
<td>

CIA

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

48

</td>  
<td>

Task 7.2.b

</td>  
<td>

Realistic data for the virtual demonstration of the ICT platform

</td>  
<td>

DOCX, XLSX, PDF, DWG

</td>  
<td>

Public

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

49

</td>  
<td>

Task 7.3.a

</td>  
<td>

Data for the pilot demonstration from “IASOL”

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

</td>  
<td>

ENV

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

50

</td>  
<td>

Task 7.3.b

</td>  
<td>

Data for the pilot demonstration from “eBIKE75”

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

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

51

</td>  
<td>

Task 7.3.c

</td>  
<td>

Data for the pilot demonstration from “FERRO”

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

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

52

</td>  
<td>

Task 7.4.a

</td>  
<td>

Demonstration of metal parts re-use and remanufacturing solutions

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Public

</td>  
<td>

Fraunhofer

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

53

</td>  
<td>

Task 7.4.b

</td>  
<td>

Evaluation of the business model/ economic assessment of new services

</td>  
<td>

DOCX, XLSX,

PDF, DWG, JPG

</td>  
<td>

Public

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

54

</td>  
<td>

Task 7.5

</td>  
<td>

Demonstration of techno-polymers re-use and recycling solutions

</td>  
<td>

DOCX, XLSX, PDF, JPEG

</td>  
<td>

Public

</td>  
<td>

RAD

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

55

</td>  
<td>

Task 7.6

</td>  
<td>

Ex-ante, intermediate and ex-post quantitative analysis of the demonstration
scenarios based on the KPIs identified in T1.3.

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

</td>  
<td>

CNR

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

56

</td>  
<td>

Task 7.7.a

</td>  
<td>

Life Cycle Assessment (Confidential version)

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

FCA

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

57

</td>  
<td>

Task 7.7.b

</td>  
<td>

Life Cycle Assessment (Public version)

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Public

</td>  
<td>

FCA

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

**WP8 - Dissemination & Exploitation **

</td>  
<td>

</td>  
<td>

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

58

</td>  
<td>

Task 8.1

</td>  
<td>

Dissemination and communication plan (First version: V1.0, Second version:
V2.0, etc.)

</td>  
<td>

DOCX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CSIC

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

59

</td>  
<td>

Task 8.2

</td>  
<td>

Exploitation planning and implementation (First version: V1.0, Second version:
V2.0, etc.)

</td>  
<td>

DOCX, PDF

</td>  
<td>

Confidential

</td>  
<td>

FCA

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

60

</td>  
<td>

Task 8.3

</td>  
<td>

Addressing drawbacks and market acceptance

</td>  
<td>

DOCX, PDF

</td>  
<td>

Public

</td>  
<td>

AVIC

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

61

</td>  
<td>

Task 8.4

</td>  
<td>

Standardization and legislation plan and actions (First version: V1.0, Second
version: V2.0)

</td>  
<td>

DOCX, PDF

</td>  
<td>

Confidential

</td>  
<td>

COBAT

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

62

</td>  
<td>

Position paper for standardization and legislation (First version: V1.0,
Second version: V2.0)

</td>  
<td>

DOCX, PDF

</td>  
<td>

Public

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

63

</td>  
<td>

Task 8.5

</td>  
<td>

IPR management (First version: V1.0, Second version: V2.0)

</td>  
<td>

DOCX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CSIC

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

64

</td>  
<td>

Task 8.6

</td>  
<td>

Plan and actions to exploit structural funds (First version: V1.0, Second
version: V2.0)

</td>  
<td>

DOCX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CNR

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

65

</td>  
<td>

Task 8.7.a

</td>  
<td>

On-line material will be prepared and uploaded on the CarE-Service website, to
explain the developed solutions, services and business models.

</td>  
<td>

PDF, PPTX

</td>  
<td>

Public

</td>  
<td>

CSIC

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

66

</th>  
<th>

Task 8.7.b

</th>  
<th>

Material for training webinars and workshops

</th>  
<th>

PDF, PPTX

</th>  
<th>

Public

</th>  
<th>

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

**WP9 - Project management**

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

67

</td>  
<td>

Task 9.1

</td>  
<td>

Project Management Handbook

</td>  
<td>

DOCX, PDF

</td>  
<td>

Confidential

</td>  
<td>

CNR

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

68

</td>  
<td>

Task 9.2

</td>  
<td>

Management Report (First version: V1.0, Second version: V2.0, etc.)

</td>  
<td>

DOCX, PDF

</td>  
<td>

Confidential

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

69

</td>  
<td>

Task 9.3

</td>  
<td>

Risk Management Plan (First version: V1.0, V1.1, V1.2 Second version: V2.0,
V2.1, V2.2 etc.)

</td>  
<td>

DOCX, XLSX, PDF

</td>  
<td>

Confidential

</td>  
<td>

AVIC

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

70

</td>  
<td>

Task 9.4

</td>  
<td>

Data Policy and Data Management Plan (First version: V1.0, Second version:
V2.0, etc.)

</td>  
<td>

DOCX, PDF

</td>  
<td>

Public

</td>  
<td>

CECO

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

**WP10 - Ethics requirements**

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

71

</td>  
<td>

Task 10.1

</td>  
<td>

POPD - H - Requirement No. 2

</td>  
<td>

DOCX, PDF

</td>  
<td>

Public

</td>  
<td>

CNR

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

#  FAIR DATA

##  MAKING DATA FINDABLE, INCLUDING PROVISIONS FOR METADATA

A DOI will be assigned to datasets for effective and persistent citation when
it is uploaded to the Zenodo repository. This DOI can be used in any relevant
publications to direct readers to the underlying dataset.

Each dataset generated during the project will be recorded in an Excel
spreadsheet with a standard format and allocated a dataset identifier. The
spreadsheet will be hosted at the CarE project’s SharePoint. This dataset
information will be included in the metadata file at the beginning of the
documentation and updated with each version.

CarE – Project naming convention for project datasets will comprise of the
following:

  1. The unique identifying number as they are described on Table 5-1. 

  

  2. The title of the dataset. 

  

  3. For each new version of a dataset it will be allocated with a version number which will be for example start at v1.0. 

  

  4. The acronym “CarE” indicating a dataset generated by the CarE-Service Project. 

  

  5. A unique identification number linking with the dataset work package and deliverable number followed by the task number. 

  

  

e.g.: “70.Data_Management_Plan_v1.0_CarE_WP9_D9.4_T9.4.pdf”

_Table 6-1: Datasets field_  
  
<table>  
<tr>  
<th>

Dataset Identifier

</th>  
<th>

The ID allocated using the naming convention outlined in section 5.1

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

Title of Dataset

</td>  
<td>

The title of the dataset which should be easily searchable and findable

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

Responsible Partner

</td>  
<td>

Lead partners responsible for the creation of the dataset

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

Work Package

</td>  
<td>

The associated work package this dataset originates from

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

Dataset Description

</td>  
<td>

A brief description of the dataset

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

Dataset Benefit

</td>  
<td>

What are the benefits of the dataset

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

Dataset Dissemination

</td>  
<td>

Where will the dataset be disseminated

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

Type Format

</td>  
<td>

This could be DOC, XLSX, PDF, JPEG, TIFF, PPT etc. (Table 5-1)

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

Expected Size

</td>  
<td>

The approximate size of the dataset

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

Source

</td>  
<td>

How/why was the dataset generated

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

Repository

</td>  
<td>

Expected repository to be submitted (Zenodo)

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

DOI (if known)

</td>  
<td>

The DOI can be entered once the dataset has been deposited in the repository

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

Date of Repository Submission

</td>  
<td>

The date of submission to the repository can be added once it has been
submitted

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

Keywords

</td>  
<td>

The keywords associated with the dataset

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

Version Number

</td>  
<td>

To keep track of changes to the datasets

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

Link to metadata file

</td>  
<td>

The SharePoint link where the file is saved

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

_Table 6-2: Example for dataset field_  
  
<table>  
<tr>  
<th>

Dataset Identifier

</th>  
<th>

70.Data_Policy_And_Management_Plan_v1.0_CarE_WP9_D9.4_T9.4.pdf

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

Title of Dataset

</td>  
<td>

Data Policy and Management Plan

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

Responsible Partner

</td>  
<td>

CECO

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

Work Package

</td>  
<td>

WP9

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

Deliverable

</td>  
<td>

D9.4

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

Dataset Description

</td>  
<td>

The Data Policy and Management Plan Policy document

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

Dataset Benefit

</td>  
<td>

The report aims at establishing the policy framework for information
management and confidentiality within the CarE-Service consortium, the members
of the Consumers’ and Stakeholders Committees, as well as external
stakeholders

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

Dataset Dissemination

</td>  
<td>

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

Type Format

</td>  
<td>

PDF

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

Expected Size

</td>  
<td>

1MB

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

Source

</td>  
<td>

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

Repository

</td>  
<td>

Zenodo, www.zenodo.org

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

DOI

</td>  
<td>

To be inserted once the dataset is uploaded to the repository

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

Date of Repository Submission

</td>  
<td>

To be inserted once the dataset is uploaded to the repository

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

Keywords

</td>  
<td>

Data Management Plan, Personal Data, GDPR, Data Policy

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

Version Number

</td>  
<td>

V1.0

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

Link to metadata file

</td>  
<td>

_https://itiacnr.sharepoint.com/:f:/r/sites/CarE_Service/Documenti%20condivisi/C_
_arE-_

_Service%20SharePoint/WPs,Tasks%20and%20Deliverables/WP9_Project_Man_
_agement/T9.4_C-_

_ECO_Policy_of_Data_and_Information_Management/D9.4_M6_V1?csf=1 &e=Q _ _StgHW_

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

##  MAKING DATA OPENLY ACCESSIBLE

Each partner must ensure open access (free of charge online access for any
user) to all peerreviewed scientific publications relating to its results.
Results are owned by the partner that generates them. ‘Results’ means any
(tangible or intangible) output of the action such as data, knowledge or
information — whatever its form or nature, whether it can be protected or not
— that is generated in the action, as well as any rights attached to it,
including intellectual property rights. Apart from the data sets specified
that will be made open (public), other data generated in CarE-Service project
should be kept confidential to avoid jeopardising future exploitation.

All the partners must disseminate its results by disclosing them to the public
by appropriate means, as soon as possible (other than those resulting from
protecting or exploiting the results), including in scientific publications
(in any medium). A partner that intends to disseminate its results must give
to the other partners at least 45 days advance notice, together with
sufficient information on the results it will disseminate (Article 29.1, Grant
Agreement).

The data will be made available to the public in order to improve and maximize
access to and re-use of research data generated by the CarE-Service project.
Therefore, all the generated data should be deposited in the Zenodo depository
platform (a free repository hosted by CERN and available to all), which allows
researchers to deposit both publications and data, in line with Article 29.3
of the Grant Agreement.

On Zenodo, all research outputs from all fields of science are welcome. In the
upload form, the uploader chooses between types of files: publications (book,
book section, conference paper, journal article, patent, preprint, report,
thesis, technical note, working paper, etc.), posters, presentations,
datasets, images (figures, plots, drawings, diagrams, photos), software,
videos/audio and interactive materials such as lessons.

All metadata is stored internally in JSON-format according to a defined JSON
schema. Metadata is exported in several standard formats such as MARCXML,
Dublin Core, and DataCite Metadata Schema (according to the  _OpenAIRE
Guidelines_ )  .

Files may be deposited under closed, open, or embargoed access. Files
deposited under closed access are protected against unauthorized access at all
levels. Access to metadata and data files is provided over standard protocols
such as HTTP and OAI-PMH.

Metadata is licensed under CC0, except for email addresses. All metadata is
exported via OAIPMH and can be harvested.

For the CarE-Service project, a Community project page on Zenodo has been
created for the partners where they can link their uploads:

_https://zenodo.org/communities/careserviceproject/?page=1 &size=20 _

##  MAKING DATA INTEROPERABLE

The CarE-Service project aims to collect and document the data in a
standardized way to ensure that, the datasets can be understood, interpreted
and shared in isolation alongside accompanying metadata and documentation.
Widespread file formats will be generated to ensure the easy access, exchange
and reuse of the generated data from other researchers, institutions,
organizations, countries, etc.

Metadata are data which describe other data. Metadata files contain
information about the documents you're going to upload. A metadata file will
be created manually in an Excel spreadsheet and linked within each dataset. It
will include the following information:

  * Title: free text 

  

  * Creator: Last name, first name 

  

  * Organization: Acronym of partner’s organization 

  

  * Date: DD/MM/YYYY 

  

  * Contributor: It can provide information referring to the EU funding and to the CarEService project itself; mainly, the terms "European Union (EU)" and "Horizon 2020", as well as the name of the action, acronym and the grant number 

  

  * Subject: Choice of keywords and classifications 

  

  * Description: Text explaining the content of the data set and other contextual information needed for the correct interpretation of the data. 

  

  * Format: Details of the file format 

  

  * Resource Type: data set, image, audio, etc. 

  

  * Identifier: DOI 

  

  * Link to data repository: Zenodo link 

  

  * Links to other publicly accessible locations of the data: e.g. Zenodo Community link, other publication platforms, etc. 

  

  * Access rights: closed access, embargoed access, restricted access, open access. 

  

_Figure 4: Metadata excel file_

##  INCREASE DATA RE-USE (THROUGH CLARIFYING LICENSES)

The datasets will be made available for reuse through uploads to the Zenodo
community page for the project.

In principle, the data will be stored in Zenodo after the conclusion of the
project without additional cost. All the research data will be of the highest
quality, have long-term validity and will be well documented in order to allow
other researchers the ability access and understand them after 5 years.

If datasets are updated, the partner that possesses the data has the
responsibility to manage the different versions and to make sure that the
latest version is available in the case of publicly available data. Quality
control of the data is the responsibility of the relevant responsible partner
generating the data.

#  ALLOCATION OF RESOURCES

There are no costs for making the data from CarE-Service project findable,
accessible, interoperable and reusable (FAIR). The repository platform that
will be used is Zenodo, an interdisciplinary open data repository service
maintained by CERN, which allows researchers to deposit both publications and
data while providing tools to link them without any cost. Any other costs
related to open access to research data in the CarE-Service project are
eligible for reimbursement during the duration of the project under the
conditions defined in the Grant Agreement, in particular Article 6.2 D.3, but
also other articles relevant for the cost category chosen.

Circular Economy Solutions GmbH (CECO) is responsible to deliver the Data
Management Plan for the CarE-Service Project in accordance with Task 9.4 for
deliverable D9.4, and also for the updated deliverables D9.7 and D9.8 which
will be submitted in predetermined periods (project months: 18 and 36).

Consiglio Nazionale delle Ricerche (CNR), the project coordinator, is
appointed as data controller to demonstrate that the data subject has
consented to processing of their personal data in all cases. Regarding the
personal data that may be collected from the platforms of PROD and EVAI, the
data processor/data protection officer in these companies will demonstrate to
the project data controller the consent/assent of the data subjects as part of
their online subscription process.

All the project partners should respect the policies set out the Data
Management Plan. Datasets have to be created, managed and stored appropriately
and in line with European Commission and local legislation. Dataset validation
and registration of metadata and backing up data for sharing through
repositories is the responsibility of the partner that generates the data in
the Working Package.

The datasets in Zenodo will be preserved in line with the European Commission
Data Deposit Policy and complies with the European Commission Open Access
Policy and Research Data Pilot. The data will be preserved indefinitely on the
Zenodo repository. This is currently the lifetime of the host laboratory CERN
which currently has an experimental programme defined for the next 20 years at
least.

#  DATA SECURITY

During the project, all the data will be stored on the partner’s storage
devices (internal servers, cloud, etc.). In the following table, there are the
detailed storage information for the partners of the project.  
  
<table>  
<tr>  
<th>

**Short name**

</th>  
<th>

**Data storage methods**

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

CNR

</td>  
<td>

At CNR, all data related to the CarE-Service project are stored in the well-
known repositories that can be accessed only with specific credentials and
denies any access from unauthorized sources. In particular, all data are
stored and managed through personal devices (administrated by institutional
credentials), Dropbox and Microsoft SharePoint.

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

LIU

</td>  
<td>

At LIU, all data related to the CarE-Service project are carefully and
securely managed and stored on local and cloud repositories that cannot be
accessed by unauthorized internal or external entities.

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

ENV

</td>  
<td>

ENV possesses an internal server with a folder named “CarEServiceProject” with
restricted access for the staff designed to the project. Internal server
cannot be accessed out of the facilities.

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

PROD

</td>  
<td>

Documentation related to the project is stored in Microsoft Sharepoint Online
and access to the data is controlled and made accessible to Prodigentia
employees on a need-to-know basis. Microsoft provides the highest standards in
data security in the industry, including ISO 27001 certifications.

Data stored in the ICT platform databases are stored i) at PROD office (test
and development systems) in local servers, with restricted access, accessible
only to the team allocated to the CarE-Service project ii) at qualified
datacenters in Europe (test and production systems).

The technology used by PROD to implement the ICT platform follows the best
practices in information security, implementing data encryption for passwords,
single-sign-on, account lockout, among others.

Following the best practices in the industry, PROD contracts regularly
qualified 3rd parties to audit the solutions developed by PROD, running black-
box and white-box tests. Potential security flaws identified are mitigated
ASAP according to its criticality.

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

CSIC

</td>  
<td>

All data related to the CarE-Service project are stored in an internal server
named “CarEService” with access only for authorized persons. Peer-reviewed
publications will be also stored in an Open Access Repository “Digital CSIC”,
as well as in Zenodo.

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

CECO

</td>  
<td>

In CECO, all the related to the CarE-Service project data are stored on data
repositories which are managed by the IT service of CECO (with no access from
outside) and on Microsoft Office 365 cloud hosted in Germany for sharing
easily the data internally.

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

COBAT

</td>  
<td>

At COBAT, all data related to the CarE-Service project are carefully and
securely managed and stored on local repositories that cannot be accessed by
unauthorized internal or external entities.

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

FCA

</td>  
<td>

In FCA, all the data related to the CarE-Service project are managed and
stored on local repositories; from 2019 there will also be the possibility to
store them in

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

</td>  
<td>

a Google Suite Platform cloud repository that cannot be accessed by
unauthorized internal or external entities.

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

RAD

</td>  
<td>

At RAD all data related to Car-E Service European project are managed and
stored on local and GeoSharing Platform residing on the internal servers. Both
local and GeoSharing Platform _are not accessible from the external network_ s
and _only_ the people actively involved in the Car-E work group can manage,
store and up/down-load the data files generated.

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

IMA

</td>  
<td>

At IMA all documents and data related to the CarE-Service project are stored
on special secured data repositories which are managed by the IT service of
IMA. In addition project specific disseminated information will be stored on
the specified Zenodo data repository.

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

Fraunhofer

</td>  
<td>

In Fraunhofer, the data are stored at the institute’s internal server. The
server is protected by modern firewall and antivirus system managed by
specialist for that. The data are located in an area reserved only for the
project where the access is allowed only to those who work in this project (6
persons).

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

AVIC

</td>  
<td>

AVIC possesses an internal server with a folder named “CarE-Service” with
restricted access for the staff designed to the project. Internal server that
cannot be accessed by unauthorized internal or external entities

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

CIA

</td>  
<td>

CIA possesses an internal server with a folder for the CarE-service project
with restricted access for the staff designed to the project. Internal server
cannot be accessed out of the facilities.

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

EVAI

</td>  
<td>

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

JRC

</td>  
<td>

Data, documents and files are stored on the local server that can be only
accessed internally. Possibility for sharing folders is available.

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

In accordance with Article 29, “Dissemination of results – Open access –
Visibility of EU funding”, and with the aim to improve and maximize access to
and re-use of research data generated by the CarE-Service project, data will
be archived and preserved in the Zenodo data sharing repository. The platform
provides the option for open or restricted access to data regarding the
dissemination level.

#  ETHICAL ASPECTS

All the CarE-Service project partners must carry out the action in compliance
with ethical principles (including the highest standards of research
integrity) and applicable international, EU and national law. The partners
must respect the highest standards of research integrity - as set out, for
instance, in the European Code of Conduct for Research Integrity (Article 34,
Grant Agreement).

CarE-Service does not intend to collect, store and/or process sensitive data
(health, genetic or biometric data). CarE-Service may collect, store and keep
on track both “anonymously” and “non-anonymously” non-sensitive personal data.
Non-anonymous personal data will be collected only in case this will be needed
to achieve the targets of the project. In this case, with full
freedom/awareness of the data subject will be ensured. For this purpose, a
dedicated space for the consent of data subject on the non-anonymous data
collection is present in the designed consent forms (Deliverable 10.1).

CarE-Service may collect personal data from members of the consortium and
other participants for several reasons as questionnaires or surveys, meetings,
conferences etc., In all cases the partners must follow the standard procedure
of getting authorization from the members to show and distribute the results,
the videos the images etc. to the public.

In CarE-Service, the data collection as well as processing will be fully based
on consent/assent of the data subject. Regarding the general personal data
collection within CarE-Service project, the data subjects’ consent/assent will
be given in the context of a written declaration (by signing the forms). The
templates of the informed consent/assent forms are devised to be fully
compliant with EU General Data Protection Regulation (GDPR).

The informed consent form is written in English and also translated and
available in four more languages (German, Spanish, Italian and French)
(Deliverable 10.1, §3.1 and Appendix A1, B1, C1, D1).

CarE-Service partners must keep confidential any data, documents or other
material (in any form) that is identified as confidential at the time it is
disclosed (“confidential information”).