2. **Be open and honest-** We will be clear and open regarding the purpose, methods, and outcomes of our work. Transparency, like informed consent, is a process that involves both making principled decisions prior to beginning the research and encouraging participation and engagement throughout its course. In our capacity as researchers, project partners are subject to the ethical principles guiding all scientific and scholarly conduct. We must not plagiarize, nor fabricate or falsify evidence, or knowingly misrepresent information or its source. 

  

  3. **Maintain Respectful and Ethical Professional Relationships-** There is an ethical dimension to all professional relationships. Whether working in academic or applied settings, researchers have a responsibility to maintain respectful relationships with others. 

  

  

#  3 Purpose of data collection

The primary rationale for collecting and generating new data is to meet the
overall goal of the project: the sustainable governance of maritime cultural
heritage. Specific objectives include:

  * develop an in-depth, situated understanding of the CH of marine and coastal land/seascapes, including knowledge across local, spatial, environmental, social and economic aspects; 

  

  * develop practical tools, based on stakeholder involvement and participatory governance, for mapping, assessing and mitigating risks to CH and to enhance sustainable growth and increase employment by harnessing CH assets; 

  

  * provide policy advice to improve integration of CH in key marine and environmental policies and the implementation of associated EU directives; and  develop effective knowledge exchange networks. 

  

PERICLES partners have well developed and quality assured processes for
managing data, in line with best practice within their field of research and
in compliance with national funders’ polices, to which all researchers will
adhere. The partners involved carry the necessary and appropriate levels of
indemnity for research involving human participants, giving cover for both
negligent and non-negligent harm. They have local enforced policies and
procedures that govern the collection, storage, quality assurance and security
of data. The study will involve analyses of data from semi-structured
interviews, surveys, visual documentation, focus groups and policy documents.
The research team has extensive experience of gathering and managing data of
this nature.

##  3.1 The relation of Data Collection to the objectives of the project

Data collection is planned specifically around the above four objectives and
the tasks associated with meeting these objectives. This means that secondary
qualitative and quantitative data will be reviewed; and primary data
collection will take place.

Developing both (a) an in-depth situated understanding of maritime CH
including knowledge across local, spatial, environmental, social and economic
aspects, and (b) practical tools for mapping, assessing and mitigating risks
to CH and to enhance sustainable growth, requires primary data collection.

While stakeholder involvement activities, participatory governance, and
developing effective knowledge exchange network activities imply the
collection of contact and informational data is necessary.

##  3.2 Types and formats of primary data to be generated/collected text

The project will collect a wide range of quantitative and qualitative data.
Quantitative data will include economic and market research and quantitative
social questionnaires. Qualitative data will include perceptions, opinions and
experiences of individuals collected through a wide range of methods.
Biological data will include DNA samples/analysis of fish bones. Data will
also be mapped in a GIS portal. This includes a wide range of data layers that
may harbour its own usage restrictions. Some basic demographic data (e.g. age)
will be collected from study participants but will be separated and results
will be reported anonymously as per standard social research ethics guidelines
enforced through ethics committees of the academic partners involved.

Data and type of data will be collected/gathered in the following WPs:

  1. WP2: Qualitative interview data 

  

  2. WP3: Data from the evaluation of tools 

  

  3. WP3: Data displayed on the mapping portal 

  

  4. WP3: Output of the data review 

  

  5. WP3: Uploaded material from citizens 

  

  6. WP4 and WP5: Qualitative interview data; guide, video, transcription, annotation 7. WP7: Website for dissemination 

  

  

Data collection crosscuts all work package work, with the data coming from
research and fieldwork within demos in each Case Region. Case study data set
overviews are presented in Annex 1. A summary is presented below:  
  
<table>  
<tr>  
<th>

</th>  
<th>

**Data type**

</th>  
<th>

**Origin**

</th>  
<th>

**WP#**

</th>  
<th>

**Case region**

</th>  
<th>

**Format**

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

1

</td>  
<td>

Stakeholder contacts

</td>  
<td>

Publicly available data

</td>  
<td>

WP6

</td>  
<td>

Estonia, Denmark, Wadden Sea, ScotlandIreland, Brittany, Aveiro, Malta, Aegean

Sea

</td>  
<td>

.xlsx

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

2

</td>  
<td>

Qualitative interview data

</td>  
<td>

Primary data

</td>  
<td>

WP3,4,5,6

</td>  
<td>

Denmark, Wadden Sea,

Brittany

</td>  
<td>

mp3,

.doc, .xlsx

.pdf

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

3

</td>  
<td>

Data from participative observation

</td>  
<td>

Primary data

</td>  
<td>

WP3,4,5,6

</td>  
<td>

Malta, Wadden Sea

</td>  
<td>

mp3,

.doc, .jpg

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

4

</td>  
<td>

Survey data

</td>  
<td>

Primary data

</td>  
<td>

WP3,4,5,6

</td>  
<td>

Malta, Wadden Sea

</td>  
<td>

.doc,

.xlsx, .dat

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

5

</td>  
<td>

Photographic, video and/or audio records

(general)

</td>  
<td>

Primary data

</td>  
<td>

WP3,4,5,6,7

</td>  
<td>

Denmark,Malta,

Wadden Sea

</td>  
<td>

.jpg, .tif,

.mp3

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

6

</td>  
<td>

Data related to visual methodologies (VPA, ethnographic documentary):

Photographic/video/audio records

</td>  
<td>

Primary data

</td>  
<td>

WP3,7

</td>  
<td>

Malta, Wadden Sea

</td>  
<td>

.mov,

.mp3

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

7

</td>  
<td>

Published data (incl.

spatial data)

</td>  
<td>

Publicly available data

</td>  
<td>

WP2,3

</td>  
<td>

Estonia, Denmark, Wadden Sea, ScotlandIreland, Brittany,

Aveiro, Malta, Aegean

</td>  
<td>

.xlsx, .doc

.pdf

.GeoJSON

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

8

</td>  
<td>

Processed data from reviewed academic and policy literature, and online
sources

</td>  
<td>

Primary data

</td>  
<td>

WP2,3,4,5

</td>  
<td>

Estonia, Denmark,

Wadden Sea, Scotland-

Ireland,

Brittany,Aveiro, Malta,

Aegean

</td>  
<td>

.jpg, .pdf,

.doc

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

9

</td>  
<td>

Quantitative survey data

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

The partners involved have robust processes for the oversight and governance
of research, in particular, research involving human participants. All data
used as part of this research will comply with all relevant legal requirements
and codes of good practice. Confidentiality and disclosure risk are controlled
through the application of information security and data handling policies
contained in relevant partner policies. Where necessary, data will be
anonymized and participants’ confidentiality maintained throughout.

Participants will be pseudonymized through allocation a unique ID that will be
used to identify all their paper and electronic records.

The Lead Researchers will be responsible for maintaining separate,
confidential registers, which will match each participant’s unique ID with
their name. These will be stored securely and separately from other data, with
access limited to designated persons. All databases will be designed to ensure
completeness, accuracy, reliability and consistency of data. The policies and
procedures ensure that there is no deletion of entered data; a list is
maintained of those individuals authorised to make data changes, and all data
changes are documented. Quality control measures will be applied to each step
in the data management process to assure that the necessary level of data
quality is maintained throughout. Requests for data by outside parties will be
handled on a case-by-case basis.

Where appropriate, some data (e.g., images) may be available under Creative
Commons license. Where submissions are made to the online portal through
citizen science, users will also be asked to submit data under a CC license.
Probably: CC-BY-SA-NC referring to the requirements to give credit to the
authors, to share the work under equal terms and not for commercial use.

For those research activities undertaken dealing with visual research methods
such as Visual Problem Appraisal and ethnographic documentaries, we will
adhere and further develop guidelines for ethical visual research methods such
as documented by Cox et al (2014).  1  The Pericles project will follow and
further develop the practice of Visual Informed Consent such as documented in
the publication by Lie & Witteveen (2017)  2  .

The process of visual documentation of stakeholders will also adhere to
aesthetical standards of professional filmmaking and photography to prevent
awkwardness resulting from low aesthetical quality of video or audio material,
which may induce requests for non-use of documented visual data.

Where data cannot be appropriately anonymised to maintain confidentiality, and
protect the rights of the research participants, it will be not be made
publicly available.

The project will comply with the partners’ policies on management of physical
research data and on working with electronic data. Any data held on portable
equipment such as laptops, memory sticks or portable hard drives will be risk
assessed, taking into account the sensitivity of the information. All portable
equipment will be risk assessed and securely encrypted, taking into account
the sensitivity of the information. All data will be transferred to partner
data repositories where they will be stored on a secure server, which is
protected against unauthorised access by user authentication and a firewall.
All identifiable data will be stored in an encrypted format. Access to the
room where the servers are kept is restricted to designated IT staff. Daily
backup procedures are in place and copies of the data are held in separate
locations.

A specified group of research staff will have read-only access to the data
files containing confidential information; only database officers can alter
the confidential personal data files. Paper records of contact sheets,
registration documents, and consent forms will be archived in separate
locations to the electronic data.

Anonymised data sets will be made publicly available through appropriate
repositories as part of an Open Data Policy that will be further developed in
our Data Management Plan.

We strive for ensuring that data will be collecting in – or converted to –
long-term preservation friendly formats, keeping in mind that they must also
be the formats best suited for reuse keeping data interoperable Audio files
will be stored in MP3 or WAV format. Digital images will be stored as JPEGs or
PNG. Microsoft Word will be used for text-based documents. .sav will be used
for SPSS files. The file formats have been selected as they are accepted
standards and used widely. At the end of the project, the Word documents will
be converted to PDF/A. Long term preservation of the data from statistical
analysis packages such as SPSS will be carried out in accordance with the
advice from the Council of European Social Science Data Archives.

##  3.3 Naming of data

A common approach to the naming of documentation and data sets will be
employed.

Files will be named according to the following scheme:

Partner/ section PERICLES_Deliverable_ version number eventually added TC when
the file is submitted in Track Changes

This is seen through the following examples:

For documents and deliverables:

PERICLES_D1.3_V0.2.doc (the document from Alyne)

PERICLES_D1.3_V0.2 TC-WU.doc (our TC identifiable contributions to the
documents)

For Datasets:

PERICLESTaskNumber.Partner.DataType e.g. T5.1.QUB.Interviews

Partners may apply a local version control system or build in mechanisms in
their local storage solution. _**3.4 Re-use of data** _

Some secondary, qualitative data and mapping/GIS data will be accessed via
publically available channels (e.g., Member State archives and mapping sites).
The nature of these portals makes it difficult to establish a certainty in
regard to the content available from them at specific times. Since the project
have no influence on these portals, we can only work from what is available on
the time of development/use of the data. However, we can try to use as much of
the background as relevant from EMODnet since the purpose of this service is
to re-use data from older or existing projects. Wherever it is possible we
make sure that we use data that apply to the INSPIRE directive 2007/2/ec  
  
<table>  
<tr>  
<th>

**Data type**

</th>  
<th>

**Source/Owner**

</th>  
<th>

**Used for**

</th>  
<th>

**Format**

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

Stakeholder contacts

</td>  
<td>

</td>  
<td>

Stakeholder register

</td>  
<td>

.xlsx

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

Published data (incl. spatial data)

</td>  
<td>

</td>  
<td>

</td>  
<td>

.xlsx, .doc

.pdf .shp .GeoJSON

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

Background data arrays, e.g.

Maritime museums, Shipwrecks, Geology,

protected areas etc

</td>  
<td>

EMODnet

(www.emodnet.eu)

</td>  
<td>

Background data for the Portal

</td>  
<td>

Web Map Service/Web

Features service (.WMS and

.WFS)

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

All collected data sets will be held at the partners together with own
produced data sets. All partners will have close attention to the reuse of
data and possible licensing issues with blended datasets. For this reason, all
collected datasets will be clearly marked with origin and usage license
options, and option for future reference from own published datasets.

Primary data sources consist of online documentation, policy documents and
peer-reviewed academic articles, including previously conducted research by
the involved partners.

##  3.5 Origin of the data

The origin of these existing data come from previously conducted research by
scholars, researchers, and Member State staff. Some of the data layers in the
mapping portal origin from national or regional data sets. In many cases
included in existing marine as well as national spatial data infrastructures
(MSDI/NSDI).

##  3.6 Expected size of the data

The size of the data handled by PERICLES is generally quite small. For most of
the data types in the project, e.g. doc, xlsx, and picture/image formats the
size would be in the megabyte range. For video and sound formats, file size is
within the gigabyte range.

Data uploaded to, and stored on, the Portal server will be in the terabyte
range, as it includes many data arrays, user text, pictures and videos.

##  3.7 Data utility

The data will be useful for PERICLES partners, associated and affiliated
partners, as well as researchers, planners and policy makers, non-governmental
organizations (including businesses) and citizens interested in maritime
cultural heritage.

#  4 FAIR data

Research data should follow the principles of 'FAIR': making data Findable,
Accessible, Interoperable and Re-usable. Making data findable includes
provisions for metadata.

##  4.1 Making data findable, including provisions for metadata

The findability for the dataset will depend on the selected repository. Most
relevant identified repository is EMODnet, and Zenodo for data that cannot be
added to EMODnet, due to the subject specificity of it. The dataset will
preferably be deposited in repositories with Core Trust Seal and those
harvested by aggregators. However, for some datasets it might be preferable to
upload the data to repositories with better support for the specific kind of
data, e.g. indexing on non-standard values (e.g. specimens).

Metadata on the datasets will be added according to the specification of the
selected repository and available options for adding keywords. For EMODnet
metadata is added to data packages in two steps; The data submitter will fill
out required metadata, such as Organizations, Dataset Identification, Data
Types, Location & Dates and Data Links, where after the EMODnet Data Centre
will review the data submission and complete it with additional metadata.

Zenodo supports the FAIR principles and all data are assigned a globally
unique and persistent identifier (a DOI is issues to every record), and each
record contains a minimum of DataCite's mandatory terms. For internal data the
naming conventions for the dataset will follow the same as enforced for the
internal naming conventions, but possibly adapted if needed for enhanced
findability. All data/documents to be identified via metadata, should include,
but not necessarily be limited to: Revision, Type, Status, Confidential,
Revision date and Created by.

All data produced will strive to match the best practice within the field,
including the recommended formats listed at  _http://rd-
alliance.github.io/metadata-directory/_

For publication of datasets, a DOI will be assigned by the repository, where
possible.

##  4.2 Making data openly accessible

Qualitative interview data, following standard, social scientific research
conventions, by which personal data are protected and anonymized, are not
publically accessible.

For datasets without personal data, the consortia will strive to release data
with an open, machinereadable license like Creative Commons, which both Zenodo
and Emodnet supports.

For data that relates to public data sets, where these cannot be re-published
by the consortia, pointers to the original datasets will be included as part
of metadata for the datasets.

Data in the PERICLES project will, as presented in table 1, have different
file formats, but all in format that can be opened/used without need for
additional software.

##  4.3 Making data interoperable

All openly accessible data will be uploaded in a commonly accessible format.
Furthermore, the associated metadata, described above, will facilitate data
interoperability. Zenodo uses the JSON Schema for metadata and offers export
to other formats to promote interoperability of the (meta)data.

As described above, the openly accessible data will not require any additional
software for it to be used.

##  4.4 Making data re-useable

Openly accessibly data collected under PERICLES will be made available for re-
use at the earliest convenient moment, taking the publication of articles into
consideration. Where possible, the project will strive to use an open machine-
readable license like Creative Commons, however this is also limited to the
available licenses for the selected repository. E.g. Emodnet allows for a
limit number of licenses.

(
_https://www.emodnetingestion.eu/media/emodnet_ingestion/org/documents/helpguide_ds_22sept_
_2017.pdf_ )

All data collected in the project will be based on the protocol for each
respective case study with clearly defined procedures here for. All studies
will result in reports wherein the data, methods and results will be
presented. Each researcher will responsible for the quality of the data that
he/she collects/store and have the data checked/validated by a colleague. Data
will be compared across case regions and potential outlies/obvious error will
be handled by either removing the data point or by returning to the origin of
the data and ask for verification or clarification.

All studies will report statistics on the data collected (e.g. number of
participants, number of responders/ non-responders) and all raw data will be
stored to allow for later check for data correctness or re-use of data.

Data collected in non-English speaking countries will be presented in English
to the consortium to allow for data use and validation of the data.

For data collected as part of a scientific article, the method for data
collection, analysis and interpretation will be explained in the article.

Data on ecology usually have a long-term reusability. For this reason, we
strive to use only repositories that is evaluated for sustainability (like the
Core Trust Seal), or repositories that will provide the necessary curation for
the data, ensuring continues findability, accessibility, interoperability and
reuse options.

For data uploaded to Zenodo the data will remain re-usable until Zenodo
discontinues the dataset(s) (i.e. warrantied for a minimum of 20 years).

Data that will remain re-usable within and across different scientific areas
includes all case study data, which will be available through the Portal for
the all interested visitors.

#  5 Allocation of resources

##  5.1 Costs for making data FAIR

FAIR data will be part of the everyday work of each partner, e.g. ensuring
interoperability and proper metadata for the documentation of the datasets.
The project coordinator, AAU, will estimated be using ½ PM for ensuring proper
focus on FAIR, and resolve issues around the data management that is related
to making data public. We do not foresee fees for the publication of data, as
it will be within scope and limits for free use of Zenodo and Emodnet. The
costs for the Portal is included as part of the PERICLES budget.

Websites and the mapping portal will be available for at least 5 years beyond
the project without any costs.

##  5.2 Responsibility for data management

The Steering Committee still has the responsibility for data management.
Potential issue and general discussions regarding the management of PERICLES
data will be discussed on SC meetings throughout the project.

##  5.3 Long term data preservation

The majority of partners are academic universities who are bound to ‘normal’
academic procedures for long-term data preservation. Within PERICLES, those
partners who are not academic institutions, also follow academic conventions.

The data stored on Zenodo will remain re-usable until Zenodo discontinues the
dataset(s). All data available through the Portal will be preserved for at
least 5 years after the end of the project, stored on a university server
(UoY), and available through an AAU domain, together with the website, which
also will be available for at least 5 years after the project.

#  6 Data security

Access control will be in line with the procedures at each partner institution
holding the data.

All raw and processed data will be stored in the secured university networks,
which is backed-up regularly. Both raw and processed data will be shared with
other project members. Signed consent forms and completed hard copies of
survey forms (if no electronic surveys are used) will be kept at the partner
institution directly engaged with collecting consent and carrying out the
surveys. Storage is in a cabinet in an office with restricted access. All
researchers involved in the collection/processing of data are aware of
security issues and these protocols.

Transfer of data between institutions will be done at the project
collaborative platform SharePoint, taking the classification of the data into
consideration. The project SharePoint only provides relevant partners access
to the data though use of e-mail address and password.

Data will be kept secure for a period of at least 5 years (longer is possible
if required by the individual partner institutions). After 5 years, the
necessity of data storage is assessed. If data are still deemed to be useful,
the data will be kept for another 5-year period, after which the need for
storage is again assessed. If data at that point are no longer deemed useful,
data will be erased.

For openly accessibly data, the public repositories (described earlier in this
document) will insure longterm preservation until discontinuing of the data by
the respective repositories.

#  7 Ethical aspects

The ethical aspects of data management and data collection has been covered in
the ethics deliverables of PERICLES submitted in M2 (D8.1, D8.2, D8.3, D8.4,
D8.5, D8.6 and D8.7) and will not be explored further here.

#  8 Other

PERICLES partners have well developed and quality assured processes for
managing data, in compliance with national funders’ polices, to which all
researchers will adhere. The partners involved carry the necessary and
appropriate levels of indemnity for research involving human participants,
giving cover for both negligent and non-negligent harm. They have policies and
procedures that govern the collection, storage, quality assurance and security
of data.

The Data Management Plan (Task 1.5/Deliverable 1.3) will be designed and
uploaded on the Partner’s area of the website, with Individual Data Plans
(listed below) submitted by each partner. In the individual plans, each
partner will assume responsibility for data integrity and quality.

**Partner 1, AAU,** follows the professional policies and standards of
disciplinary associations within which the researchers are affiliated.

**Partner 2, WU** , **follows the Netherlands Code of Conduct for Academic
Practice Principles of Good Academic Teaching and Research** , which is fully
applicable to all research at Wageningen University and Research. The code of
conduct elaborates on recognised principles such as Honesty and
scrupulousness, Reliability, Verifiability, Impartiality, Independence and
Responsibility.  3  In addition, legal regulations for privacy will be adhered
to. Moreover, the Data Management Policy as stipulated by the Environmental
Policy Group (ENP) serves as a guideline for the WU researchers involved in
PERICLES. According to this policy, researchers need to store all data that is
used in publications, as well as data that needs to be stored according to
requirements from the consortium in which the researcher takes part, have to
be stored in an individual repository on the secured university drive for the
duration of 10 years. This repository contains: research proposal; the Data
Management Plan (this document); empirical tools (e.g. questionnaires,
interview guidelines, models); processed data (e.g. excel sheets,
transcripts); documentation of how data has been processed (i.e. coding form,
list relating anonymous data to resource persons) and of the programmes used
to analyse the data; and signed prior informed consent forms.

Data collected/used for research in PERICLES include primary and secondary
data. More specifically, WU researchers collect and use the following data for
the research tasks in which they participate: T2.5: peer-reviewed academic
articles, including previously conducted research by the involved partners,
processed data (excel sheet) and coding forms; T2.7: processed data, derived
from research conducted in T2.3, T2.4 and T2.5, and output (final draft
journal article); T3.2: secondary data (existing spatial data), collated in a
table (word document/excel sheet); T3.3: online documentation, academic
articles and empirical tool (survey), processed data and coding form; T3.4:
semi-structured interviews, observation data, meeting notes, video images and
recorded interviews (VPA), empirical tools (interview guidelines, meeting work
plans, filming guidelines/script), processed data (transcripts, meeting
reports, selected images and footage), documentation of how data has been
processed (i.e. coding form, list relating anonymous data to resource persons,
if applicable) and of the programmes used to analyse the data, and signed
prior informed consent forms. T4.3: data collected in task 4.1, also peer-
reviewed academic articles and semi-structured interviews, interview
guideline, transcripts, list relating anonymous data to resource persons (if
applicable), and signed prior informed consent form; T5.1: peer-reviewed
academic articles, including previously conducted research by the involved
partners, policy documents, processed data and coding forms; T5.2: semi-
structured interviews, interview guideline, transcripts, list relating
anonymous data to resource persons (if applicable), and signed prior informed
consent form; T5.3: data collected in task 5.1 and 5.2, models, processed
data, coding form, and documentation of the programmes used to analyse the
data; T6.1: observation data, meeting notes, meeting work plans, processed
data (meeting reports), and signed prior informed consent forms; T6.2: meeting
notes, meeting work plans, webinar scripts, processed data (meeting reports,
(short) reports capturing feedback from participant); T7.: meeting notes;
T7.4: this task mainly uses data collected in other tasks, processed data, and
final output (e-booklets); T7.6: conference notes (if relevant), PowerPoint
presentations; T7.9: video images and recorded interviews, filming
guidelines/script, processed data (selected images and footage), documentation
of how data has been processed (i.e. coding form, list relating anonymous data
to resource persons, if applicable) and of the programmes used to analyse the
data, and signed prior informed consent forms.

Regarding (co-) ownership, the ENP Data Collection Policy states that all data
collected by WU researchers is at least co-owned by ENP. In addition, if
(processed) data is not archived with WU but with a partner institute, access
to this data (in the form of processed data) has to be warranted by the means
of a data sharing agreement. In that case, WU researchers have to set up a
data sharing agreement. For PERICLES, this Data Management Plan serves as such
agreement, as in section 4 it has been highlighted that “both raw and
processed data may be shared with other project members”. When specific
conditions (e.g. time; authorship; anonymity) have to be considered, a Data
sharing agreement has to be drafted and signed for any research where data is
used or (co-)produced by researchers outside of the ENP group.

**Partner 3, UBO** – is working in accordance with the European Union
Regulation No 2016/679 of the European Parliament and of the Council of 27
April 2016 on the protection of individuals with regard to the processing of
personal data and the French law n°78-17 of 6 January 1978 relating to
information technology, files and to freedoms in its latest version. The
processing of personal data presented to DPO based on the interviews realised
by laboratory AMURE/IUEM laboratory of UBO within the frame of PERICLES
project comply with the legal frame mentioned above.

**Partner 4, UHI** – follows the University Research Data Management Policy
for management of data generated as a result of research projects.
(https://www.uhi.ac.uk/en/t4-media/oneweb/university/research/resource/docs/UHI-
RDM-Policy-and-guidelines-2018.pdf)

**Partner 5, QUB** follows the **Economic and Social Research Council Research
Data Policy** and QUB’s policies on management of physical research data and
on working with electronic data.  ( _https://esrc.ukri.org/funding/guidance-
for-grant-holders/research-data-policy/_ )

**Partner 6, UAVR** follows the European Code of Conduct for Research
Integrity ((ESF/ALLEA) -
https://ec.europa.eu/research/participants/data/ref/h2020/other/hi/h2020-ethics_code-
ofconduct_en.pdf policies and guidelines, and complies with the relevant data
protection laws, in particular the European Data Protection Regulation (GDPR)
and with the national laws on that matter in practice at this University
(namely the Regulamento Geral sobre a Proteção de Dados - RGPD).

According to these guidelines, PERICLES’ researchers at UAVR will ensure
appropriate stewardship and curation of all data and research materials,
including unpublished ones, with secure preservation for a reasonable period.
UAVR’s researchers will provide transparency about how to access or make use
of their data and research materials. Research participants that take part in
PERICLES activities are engaged through informed consent procedures, which
follow European best practices. Moreover, we will ensure access to data is as
open as possible, as closed as necessary, and where appropriate in line with
the FAIR Principles (Findable, Accessible, Interoperable and Re-usable) for
data management (as described in section 4. of this document).

Further details on the types of data that are being (or will be) collected,
their purpose and utility, as well as their accessibility are described in
Annex I.

**Partner 7, SAMS** – SAMS is no longer directly collecting any data for
PERICLES – the data collection for our survey on people’s attitudes to local
fisheries is being co-ordinated by York University. The data and ethical
framework for this are therefore being handled by York University in line with
their data handling management procedures.

**Partner 8, MKA** – Currently, a Data Management Plan for MKA is under
preparation. Until the document is approved, MKA are working in accordance
with EU data protection regulation.

**Partner 9, PNRGM** follows the European RGPD (Data Protection Regulation)
which can be downloaded

from: https://pages.checkpoint.com/fr-
gdpr.html?utm_source=googlesem&utm_medium=cpc&utm_campaign=CM_SEM_18Q1_WW_GDPR_FR9&utm_source=google-

**Partner 10, FRI** – The FRI follows mandates of “The Ethics and Research
Ethics Committee” of the Hellenic Agricultural Organization "DEMETER" (NAGREF-
DEMETER) which are in accordance with the national legislation n. 4521/2018
(Government Gazette A’38/2-3-2018). The purpose of the Committee is to
guarantee, on a moral and ethical level, the credibility of all research
projects carried out by all NAGREF-DEMETER Research Institutes. Additionally,
the Committee monitors the compliance with the research integrity principles,
and the criteria of good scientific practice.

It is the responsibility of the Committee to ascertain whether a particular
research project carried out by NAGREF-DEMETER, does not contravene the
legislation in force and whether it complies with the generally accepted
ethical and ethical rules of Research (its content and conduct). The Committee
evaluates the research proposal on research ethics and ethics issues, and is
responsible for its approval or for making recommendations for its revision
when and if ethical and ethical impediments arise. For more details see

https://www.elgo.gr/index.php?option=com_content&view=category&layout=blog&id=282&Itemid=2
109&fbclid=IwAR24uvof3R6I5sHXAyAx8B6n-Kt7Gqzcz4Q1kIjlrB2IhP8tcDrLpfcXKGA
(available in Greek).

FRI’s sub-contractor, the University of Crete, is itself working in accordance
to Principles of Ethical Conduct of the University, as these are guaranteed
and approved by the University Code of Ethics & Research Ethics Committee; see
http://en.uoc.gr/research-at-uni/eth/ethi.html .

The Greek part of PERICLES research program and its actions have been approved
by both these institutions.

**Partner 11, UoY** – UOY has an elaborate DM policy which the York PERICLES
team will adhere to: (https://www.york.ac.uk/about/departments/support-and-
admin/information-services/informationpolicy/index/research-data-management-
policy/) This policy serves to ensure that researchers manage their data
effectively, enabling them to:

  * Demonstrate the integrity of their research 

  

  * Preserve eligible data for reuse within the university and without (as appropriate) 

  

  * Comply with ethical, legal, funder and other requirements in relation to data and data management 

  

This policy states that research data must be:

  * Accurate, complete, authentic and reliable; 

  

  * Identifiable, retrievable, and available when needed; 

  

  * Secure and safe with appropriate measures taken in handling sensitive, classified and confidential data; 

  

  * Kept in a manner that is compliant with legal obligations, University policy and, where applicable, the requirements of funding bodies; and 

  

  * Preserved for its life-cycle with the appropriate high-quality metadata 

  

The policy also states that retained data must be deposited in an appropriate
national or international data service (as discussed above). Data should be
transferred to the University Research Data York service when suitable data
services are not available.

Additionally, UoY endorses the Research Council UK Common Principles on Data
Policy (http://www.rcuk.ac.uk/research/datapolicy)