####  I. Data Summary

The aim of Data Summary (DS) is to organise the data management during PEARL
_S_ Project. The DS includes the following points or questions:

  * **What is the purpose of the data collection/generation in relation to the objectives of the project?**

  

  * **What types and formats of data will the project generate/collect?**

  

  * **Will you re-use any existing data and how?**

  

  * **What is the origin of the data?**

  

  * **What is the expected size of the data?**

  

  * **To whom might it be useful ('data utility')?**

  

The PEARL _S_ Project purpose of data collection/generation is:

  * To develop applied knowledge about how to increase public engagement in the behalf of sustainable renewable energy system through planning processes. 

  

  * Using secondment, staff exchange and collaborative research, the project will investigate on national legal basis; will develop methodologies on social innovation; and will explore tools from the multidisciplinary approach of Social Sciences in different European regions. 

  

  * Establishing international, cross-cutting and multidisciplinary collaboration as the nexus of a five-country holistic pool of universities and research centres in close cooperation with nonacademic sectors. 

  

All Project activity is structured into work packages. Type of data which will
be collected during PEARL _S_ Project figures in tables 1 to 7.

Table 1: Origin of Data in PEARL _S_ Project. WP 1  
  
<table>  
<tr>  
<th>

**WP 1**

</th>  
<th>

**Participants**

</th>  
<th>

**Purpose (in relation to the project objectives)**

</th>  
<th>

**Data type**

</th>  
<th>

**Format**

</th>  
<th>

**Data utility**

**(public or not)**

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

All Consortium

</th>  
<th>

External

communication and dissemination strategies

development. Project IP treatment.

Expert recruitment.

</th>  
<th>

Website,

patents filling, report.

</th>  
<th>

MS Office /

Open

Office documents

</th>  
<th>

Public

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

Table 2 . WP 2  
  
<table>  
<tr>  
<th>

**WP 2**

</th>  
<th>

**Participants**

</th>  
<th>

**Purpose (in relation to the project objectives)**

</th>  
<th>

**Data type**

</th>  
<th>

**Format**

</th>  
<th>

**Data utility**

**(public or not)**

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

1 – USE

2- CLANER

3 – Territoria

5- ENERCOUTIM

  8. AUTH 

  

  9. GSH 

  

  

10 – AKKT

  12. – UH 

  

  13. –SP Interface 

  

  

</th>  
<th>

Examine and compare national energy policy, land use planning and landscape
practice schemes. Fieldwork.

</th>  
<th>

Research reports, interviews and research seminar.

</th>  
<th>

MS Office

/ Open Office

documents

Audio o video

(mp3 .aif,

.aiff, .wav,

.avi, .mp4)

</th>  
<th>

Both confidential as public

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

Table 3: Origin of Data in PEARL _S_ Project. WP 3  
  
<table>  
<tr>  
<th>

**WP 3**

</th>  
<th>

**Participants**

</th>  
<th>

**Purpose (in relation to the project objectives)**

</th>  
<th>

**Data type**

</th>  
<th>

**Format**

</th>  
<th>

**Data utility**

**(public or not)**

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

1 – USE

2-CLANER

3 – Territoria

5 – ENERCOUTIM

7 – UNITN

  9. – GSH 

  

  10. – AKKT 

  

  

  12. – UH 

  

  13. – SP Interface 

  

  

</th>  
<th>

Identify focus groups and behaviour – consumptions patterns. Determine factors
that prevent engagement with renewable energies and efficiency.

Preliminary agreements.

</th>  
<th>

Confidential report about market segmentation, key actor maps and indicators
analysis. Statement supporting renewable energy efficiency.

Crowdsourcing working schemes.

</th>  
<th>

MS Office

/ Open Office

documents

</th>  
<th>

Both, confidential and public

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

Table 4 . WP 4  
  
<table>  
<tr>  
<th>

**WP 4**

</th>  
<th>

**Participants**

</th>  
<th>

**Purpose (in relation to the project objectives)**

</th>  
<th>

**Data type**

</th>  
<th>

**Format**

</th>  
<th>

**Data**

**utility**

**(public or not)**

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

1 – USE

3- Territoria

  7. – UNITN 

  

  8. – AUTH 

  

  9. – GSH 

  

  

11 – TSAKOUMIS

13 – SP Interface

</th>  
<th>

Knowledge transfer

and skills enhancement.

Development of advanced

methodologies and tools. Website design.

</th>  
<th>

Technical report Scientific report on advanced methodologies

Web-GIS Platform

</th>  
<th>

MS Office /

Open

Office

documents

GIS format

files

</th>  
<th>

Public

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

Table 5: Origin of Data in PEARL _S_ Project. WP 5  
  
<table>  
<tr>  
<th>

**WP 5**

</th>  
<th>

**Participants**

</th>  
<th>

**Purpose (in relation to the project objectives)**

</th>  
<th>

**Data type**

</th>  
<th>

**Format**

</th>  
<th>

**Data utility**

**(public or not)**

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

  1. – USE 

  

  2. – CLANER 

  

  3. – Territoria 

  

  4. – ICSUL 

  

  5. – ENERCOUTIM 

  

  6. – COOPERNICO 

  

  7. – AUTH 

  

  

9- GSH

12 - UH

</th>  
<th>

Identification and replication of social innovations in renewable energies.
Innovative practices in public engagement. To strengthen cultural dimension of
renewable energy. Methodologies training and dissemination.

</th>  
<th>

Case Study

Training

</th>  
<th>

MS Office

/ Open Office

documents

</th>  
<th>

Public

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

Table 6 . WP 6  
  
<table>  
<tr>  
<th>

**WP 6**

</th>  
<th>

**Participants**

</th>  
<th>

**Purpose (in relation to the project objectives)**

</th>  
<th>

**Data type**

</th>  
<th>

**Format**

</th>  
<th>

**Data utility**

**(public or not)**

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

All Consortium

</th>  
<th>

Financial and administrative monitoring. Intellectual property management.
Communication with the Advisory Board.

</th>  
<th>

Internal

Communication website, patents filling, etc.

Data Management

Plan –ORDP: Open

Research Data Pilot. Reports.

</th>  
<th>

MS Office

/ Open Office

documents

</th>  
<th>

Both, confidential and Public

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

Table 7: Origin of Data in PEARL _S_ Project. WP 7  
  
<table>  
<tr>  
<th>

**WP 7**

</th>  
<th>

**Participants**

</th>  
<th>

**Purpose (in relation to the project objectives)**

</th>  
<th>

**Data type**

</th>  
<th>

**Format**

</th>  
<th>

**Data utility (public or not)**

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

1 - USE

</th>  
<th>

Compliance with the

“Ethics Requirements”

</th>  
<th>

Informed consent forms and information sheet –template. Copies of ethics
approvals for the research with humans.

Copies of opinion or confirmation by Institutional Data Protection Officer.

</th>  
<th>

MS Office /

Open

Office documents

</th>  
<th>

Confidential Both confidential as public

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

The data generated by ESRs would strongly depend on the individual doctoral
projects, tools and research methods used within these projects. Whenever
possible, the dataset will be made available online using the following
formats.

Table 8: File formats  
  
<table>  
<tr>  
<th>

**Text format**

</th>  
<th>

**File extension**

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

Acrobat PDF/A

</td>  
<td>

.pdf

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

Comma-Separated Values

</td>  
<td>

.csv

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

Open Office Formats

</td>  
<td>

.odt, .ods, .odp

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

Plain Text (US-ASCII, UTF-8)

</td>  
<td>

.txt

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

XML

</td>  
<td>

.xml

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

**Image / Graphic formats**

</td>  
<td>

**File extension**

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

JPEG

</td>  
<td>

.jpg

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

JPEG2000

</td>  
<td>

.jp2

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

PNG

</td>  
<td>

.png

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

SVG 1.1. (no java binding)

</td>  
<td>

.svg

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

TIFF

</td>  
<td>

.tif, .tiff

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

**Audio formats**

</td>  
<td>

**File extension**

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

AIFF

</td>  
<td>

.aif, .aiff

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

WAVE

</td>  
<td>

.wav

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

**Motion formats**

</td>  
<td>

**File extension**

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

AVI (uncomprenssed)

</td>  
<td>

.avi

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

Motion JPEG2000

</td>  
<td>

.mj2, .mjp2

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

Arc Gis

</td>  
<td>

.shp, .txt, .xls, .csv, .dgn, .dwg, .dxf, .img, .dt, HDF, .sid, .ntf, .tif,
SDC, SDE, TIN, VPF, ADS, AGF, DFAD, DIME, DLG, ETAK, GIRAS, IGDS, IGES, MIF,
MOSS, SDTS

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

It is encouraged to make existing data available for research within the
Project. WP6 and WP1 will provide data templates, in order to be able to
harmonize the different datasets that are provided. Data origin would be from
beneficiaries along the whole project. They are needed to implement the action
or exploit the results. The expected size of the data is going to be evaluated
during the course of the project. It depends on the extent and the nature of
the data availability. Besides, data might be useful to final development of
the Project as follows:

  * European Commission. Research Executive Agency. 

  

  * The Framework Programme for Research and Innovation Horizon 2020\. 

  

  * Open access to disseminate results. 

  

  * Open access to scientific publications. 

  

  * Open access to research data. 

  

  * Transfer of beneficiaries’ results. 

  

###  II. FAIR data

#####  1\. Making data findable, including provisions for metadata

Following points or questions are here included:

**Are the data produced and/or used in the project discoverable with metadata,
identifiable and locatable by means of a standard identification mechanism
(e.g. persistent and unique identifiers such as Digital Object Identifiers)?**

**What naming conventions do you follow?**

**Will search keywords be provided that optimize possibilities for re-use?**

**Do you provide clear version numbers?**

**What metadata will be created? In case metadata standards do not exist in
your discipline, please outline what type of metadata will be created and
how.**

The data produced and collected by each member have to be carefully stored and
managed at the facilities of the Project Coordinator -University of Seville,
European Social Research Lab.

Informatics services will ensure regular files backup. Besides, additional
archiving will be made.

Best practices will be followed for data management. To facilitate document
evaluation and review, participants create all deliverables and other official
documents in agreement with established templates.

Besides that, each data is provided with its corresponding metadata in order
to keep data findable. PEARL _S_ Project favours metadata standard following
EU recommendations: the Common European Research Information Format (CERIF)
standard. Identifiers such as Digital Object Identifiers (DOI) will also be
used for publication.

#####  2\. Making data openly accessible

To make open data accessible, following points are here included:

**Which data produced and/or used in the project will be made openly available
as the default? If certain datasets cannot be shared (or need to be shared
under restrictions), explain why, clearly separating legal and contractual
reasons from voluntary restrictions.**

**Note that in multi-beneficiary projects it is also possible for specific
beneficiaries to keep their data closed if relevant provisions are made in the
consortium agreement and are in line with the reasons for opting out.**

**How will the data be made accessible (e.g. by deposition in a repository)?**

**What methods or software tools are needed to access the data?**

**Is documentation about the software needed to access the data included?**

**Is it possible to include the relevant software (e.g. in open source
code)?**

**Where will the data and associated metadata, documentation and code be
deposited? Preference should be given to certified repositories which support
open access where possible.**

**Have you explored appropriate arrangements with the identified repository?**

**If there are restrictions on use, how will access be provided?**

**Is there a need for a data access committee?**

**Are there well described conditions for access (i.e. a machine readable
license)?**

**How will the identity of the person accessing the data be ascertained?**

Data related to the social media, courses, open access publications, results
and deliverables will be openly accessible. Also, some data will be
communicated via PEARL _S_ Project social channels, as Twitter and RSS Feed.
According to PEARL _S_ Project Agreement, project results will be accessible
by appropriate means, such scientific publications. Beneficiaries will be able
to access, mine, exploit, reproduce and disseminate those data. However, the
beneficiaries do not have to ensure open access to specific parts of their
research data if some parts of the research data not be openly accessible. In
this case, reasons for not giving access must be in the management plan
contained. Besides, beneficiaries must give each other access to background
data, which are necessary to implement the Project and exploit the results,
except in case of limits or legal restrictions. Affiliated entities must make
a written request to beneficiaries. There is any data access committee in the
development for the PEARLS Project. Participants have their own user
identified for Intranet access, where private data will be deposited.

#####  3\. Making data interoperable

To make open data interoperable, following points are here included:

**Are the data produced in the project interoperable, that is allowing data
exchange and re-use between researchers, institutions, organisations,
countries, etc. (i.e. adhering to standards for formats, as much as possible
compliant with available (open) software applications, and in particular
facilitating re-combinations with different datasets from different
origins)?**

**What data and metadata vocabularies, standards or methodologies will you
follow to make your data interoperable?**

**Will you be using standard vocabularies for all data types present in your
data set, to allow interdisciplinary interoperability?**

**In case it is unavoidable that you use uncommon or generate project specific
ontologies or vocabularies, will you provide mappings to more commonly used
ontologies?**

Data will be available in the format consultable rendered, when possible. It
will be used a standard vocabulary for all data types. This vocabulary will
allow inter-disciplinary interoperability.

#####  4\. Increase data re-use (through clarifying licences)

To increase data re-use, following points are here included:

**How will the data be licensed to permit the widest re-use possible?**

**When will the data be made available for re-use? If an embargo is sought to
give time to publish or seek patents, specify why and how long this will
apply, bearing in mind that research data should be made available as soon as
possible.**

**Are the data produced and/or used in the project useable by third parties,
in particular after the end of the project? If the re-use of some data is
restricted, explain why.**

**How long is it intended that the data remains re-usable?**

**Are data quality assurance processes described?**

Some data results may be transferred in order to allow data Project by third
parties useable. However, some re-use can be restricted if the Party‘s
interests in relation to the results would be harmed. In that case, a request
is necessary for necessary modifications. Data are Creative Commons licensed
and remain re-usable during the Project.

Validation of data quality is a milestone part of Work Package 2, which is in
PEARL _S_ Grant Agreement included.

##  III. Allocation of resources

To allocate the resources, following points are here included **:**

**What are the costs for making data FAIR in your project?**

**How will these be covered? Note that costs related to open access to
research data are eligible as part of the Horizon 2020 grant (if compliant
with the Grant Agreement conditions).**

**Who will be responsible for data management in your project?**

**Are the resources for long term preservation discussed (costs and potential
value, who decides and how what data will be kept and for how long)?**

Eventual costs for making data FAIR in the Project would be as Eligible Cost
of PEARL _S_ Grant Agreement covered, as it could be expenditure decided
solely by each beneficiary, according to Consortium Agreement´s eligible costs
by beneficiaries. The following concepts indicatively will be considered as
Eligible Costs for Research, Training and Network Costs and Management and
Indirect Costs:

  * **Research Costs:**

    * Data bases and Software and Web-GIS platform. o Interviews and on-line questionnaires. o Case studies and fieldwork. o Research reports. o Scientific paper review by experts. o Maps, statements and advanced methodological reports. 

  

    * Health insurance. 

  

    * Participation in congress, workshops, conferences and other scientific meetings. o Translations and Revision of scientific production. 

  

    * Other expenditures decided solely by each Beneficiary for ensuring the successful and eligible implementation of the project. 

  

  

  * **Training and networking costs:**

    * Research Seminar for PhD students. o Seminar on Social Analysis Innovation. 

  

    * Methodological Course. 

  

    * Training through online courses. o Local Workshops participation and other communication activities at host organisation. 

  

    * Papers and publications in other divulgation formats of network material. o Other expenditures. 

  

  

  * **Management and Indirect Costs:**

    * Project Website and Social Media content update and providing supporting information. o Periodic management reports. o Gender balance and ethics requirements. 

  

    * Other expenditures decided solely by each Beneficiary for ensuring the successful and eligible implementation of the project. 

  

  

A party shall be funded only for its tasks carried out in accordance with the
Consortium Plan. All participants will be responsible for Data Management in
the Project. Data collection will be in relation to research activities in the
Project. The Project will not collect personal data, but it may collect basic
biographical data of people which participates in research. However, those
data will be collected and stored as anonymous data. Data will be collected in
a way that responsible will not impose any bias on the data itself. They will
be kept along the development of the Project itself. Besides, it will not be
necessary to create databases about individuals. Once all Project activity has
been finished, data will be destroyed six months past the termination of the
project. Paper data will be physically destroyed. Digital data will be
overwritten to ensure that they are effectively scrambled and remain
inaccessible.

##  IV. Data security

To data security, following points are here included:

**What provisions are in place for data security (including data recovery as
well as secure storage and transfer of sensitive data)?**

**Is the data safely stored in certified repositories for long term
preservation and curation?**

All data collected throughout the Project will be securely stored and among
partners transferred, when necessary also following all security protocols.
Data will be stored throughout the whole of the PEARL _S_ project execution
plan and will be destroyed six months after its conclusion.

###  V. Ethical aspects

To ethical aspects, following points are here included:

**Are there any ethical or legal issues that can have an impact on data
sharing? These can also be discussed in the context of the ethics review. If
relevant, include references to ethics deliverables and ethics chapter in the
Description of the Action (DoA).**

**Is informed consent for data sharing and long term preservation included in
questionnaires dealing with personal data?**

According to Research and Innovation activities in civil applications carried
out under Horizon 2020 and PEARL _S_ Project ethical issues table, there are
volunteers for social or human sciences research.

PEARL _S_ Project does not access to private data, such names or personal
identification numbers. The research does not include any human unable to give
informed consent. Researchers and other participants are only able to work
with average and aggregated data, which guarantees the reliability of research
without access to private data. The project requires the use of interviews,
surveys and focus groups, and fieldwork photographs and videos with not-
invasive equipment.

The most important ethical issues for PEARL _S_ project are:

  * Respect current European and National regulations. 

  

  * Fully and responsibly inform any participant of the purpose of the research and of the ways in which their data and the information will be used. 

  

  * Take care of a correct and rightful use of the results of the research. 

  

All data collected will be subject to usual rules about data protection with
respect to data confidentiality, anonymity and privacy. Ethical and legal
issues are included in Deliverables 7.1 - 7.5, which are related to ethics and
data management and were submitted in 11/31/2018 to EC.

An information sheet provision and a consent form related to the Project are
provided to each participant into different activities. Participants will be
informed that:

  * Any data, video or audio recording portraying or featuring him or her is treated as confidential. 

  

  * Any recording and data are securely stored and used only for the purpose of the present research. 

  

  * None of the participants’ personal details will be published and or available to the public without their explicit consent. 

  

##  VI. Other issues

**Do you make use of other national/funder/sectorial/departmental procedures
for data management?**

**If yes, which ones?**

Any other procedures for data management are used. However, participants will
submit the Data Management Plan to the competent National Authority for Data
Protection, if necessary.

#  VII. Further support in developing your DMP

The Research Data Alliance provides a  Metadata Standards Directory  that can
be searched for discipline-specific standards and associated tools.

The  EUDAT B2SHARE  tool includes a built-in license wizard that facilitates
the selection of an adequate license for research data.

Useful listings of repositories include:

Registry of Research Data Repositories

Some repositories like  Zenodo,  an OpenAIRE and CERN collaboration), allow
researchers to deposit both publications and data, while providing tools to
link them.

Other useful tools include  DMP online  and platforms for making individual
scientific observations available such as  ScienceMatters.  
  
<table>  
<tr>  
<th>

</th>  
<th>

</th>  
<th>

</th>  
<th>

**HISTORY OF CHANGES**

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

**Version**

</td>  
<td>

**Publication date**

</td>  
<td>

</td>  
<td>

**Change**

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

1.0

</td>  
<td>

31.01.2019

</td>  
<td>

▪ First version

</td>  
<td>

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

19

**VIII. PEARL _S_ Consortium **  
  
<table>  
<tr>  
<th>

1

</th>  
<th>

</th>  
<th>

**USE**

C/ S Fernando 4, Sevilla 41004 Spain

</th>  
<th>

Contact:

María-José Prados

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

2

</td>  
<td>

</td>  
<td>

**CLANER**

C/ Pierre Laffitte nº6 Edificio CITTIC TECNOLÓGICO DE AN, Málaga 29590 Spain

</td>  
<td>

Contact:

Carlos Rojo Jiménez

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

3

</td>  
<td>

</td>  
<td>

**Territoria**

C/ Cruz Roja nº10 piso 1 pta b Sevilla 41008 Spain

</td>  
<td>

Contact:

Michela Ghislanzoni

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

4

</td>  
<td>

</td>  
<td>

**ICSUL**

Avda Prof Anibal de Bettencourt 9, Lisboa 1600 189, Portugal

</td>  
<td>

Contact:

Ana Delicado

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

5

</td>  
<td>

</td>  
<td>

**ENERCOUTIM**

Centro de Artes e Oficios, Rua Das Tinas 1 esq, Alcoutim 8970 064, Portugal

</td>  
<td>

Contact:

Marc Rechtel

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

6

</td>  
<td>

</td>  
<td>

**COOPERNICO**

Praca Duque de Terceira 24 4 Andar 24 Lisboa 1200 161 Portugal

</td>  
<td>

Contact:

Ana Rita Antunes

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

7

</td>  
<td>

</td>  
<td>

**UNITN**

Via Calepina 14, Trento 38122, Italy

</td>  
<td>

Contact:

Rossano Albatici

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

8

</td>  
<td>

</td>  
<td>

**AUTH**

University Campus Administration Bureau, Thessaloniki 54124 Greece

</td>  
<td>

Contact:

Eva Loukogeorgaki

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

9

</td>  
<td>

</td>  
<td>

**GSH**

Gkonosati 88A, Metamorfosi, Athina 14452 Greece

</td>  
<td>

Contact:

Vasiliki

Charalampopoulou

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

10

</td>  
<td>

</td>  
<td>

**CONSORTIS**

Vasileos Georgiou, 15 Thessaloniki 54640 Greece

</td>  
<td>

Contact:

Ahí Mantouza

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

11

</td>  
<td>

</td>  
<td>

**CONSORTIS Geospatial**

Vasileos Georgiou 15, Thessaloniki 54640 Greece

</td>  
<td>

Contact:

Georgios Tsakoumis

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

12

</td>  
<td>

</td>  
<td>

**Ben-Gurion University of the Negev**

P.O.B. 653 Beer-Sheva 8410501 Israel

</td>  
<td>

Contact:

Na’ama Teschner

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

13

</td>  
<td>

</td>  
<td>

**SP Interface**

8 Nave Matz St, Rehovot 7624416 Israel

</td>  
<td>

Contact:

Daniel Madar

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

19