#  Introduction

The “Transition with Resilience for Evolutionary Development” – TREnD –
Project is part of the Open Research Data Pilot (ORD pilot), following the
extension to cover all the thematic areas of Horizon 2020 from and under the
revised version of the 2017 Work Programme.

According to the aim of the ORD pilot, in order to maximise access to and re-
use of research data generated by Horizon 2020 projects, the Data Management
Plan (DMP) is required to describe the data management life cycle for the data
to be collected, processed and/or generated by a Horizon 2020 project.

The TREnD project’s Data Management Plan is drafted in compliance with the
_Horizon 2020 FAIR Data Management Plan_ template applicable to any Horizon
2020 project producing, collecting and/or processing research data. The DMP is
a _living document_ where information incorporated can be updated to a finer
level of granularity as the implementation of the project progresses and when
significant changes occur.

Data management practices have become a crucial concern at any stage of
research and innovation projects to prevent from common mistakes made in the
past with research data. The purpose of data management is to steer principal
and co-investigators towards the development of a clear strategy definition
regarding data creation, collection, storage and long-term preservation,
handling of sensitive data, data retention and sharing, in the early phase of
the research.

In this perspective, the TREnD DMP aims to define a set of leading principles
outlining the norms, rules and proper practices that will guide the conduct of
all the participants in the research activities during the entire lifecycle of
data production, collection and processing within the project, as well as the
plans for data sharing and data preservation. In addition, the DMP is an
essential tool to not only regulate and guide the research activities that
deal with data during the project implementation phase, but foremost to
soundly manage the generated data after the project’s completion. Therefore,
ensuring a sound research data management is important to maximise both access
to and re-use of research data generated, processed and analysed throughout
the TREnD project and, their impact on the designated users.

#####  Aim and structure of the TREnD DMP

The TREnD Project has envisioned to enable knowledge transfer through an
interactive platform dedicated to data sharing with different users, namely
Open Access Toolkit (OpenAT). Using fully exploiting the potential value of
the research data (and related meta-data) generated throughout the TREnD
project, such an OpenAT is aimed to provide new knowledge and services for
local communities of entrepreneurs, and policymakers as well as public
authorities. The project deals with different kind of data based on interviews
and from official and public Statistical databases warehouses at different
geographic levels to comply with the needed approach to address the
implementation phases with legal provisions and societal norms.

The TREnD DMP intends to expound how the research data of the project are to
be properly managed during its implementation, and how they will be handled
after its completion. It is expected to comply with the legal requirements as
outlined in Article 29.3 of the Grant Agreement concerning Open access to
research data.

_Regarding the digital research data generated in the action (‘data’), the
beneficiaries must:_

_(a) deposit in a research data repository and take measures to make it
possible for third parties to access, mine, exploit, reproduce and disseminate
— free of charge for any user — the following: (i) the data, including
associated metadata, needed to validate the results presented in scientific
publications as soon as possible; (ii) other data, including associated
metadata, as specified and within the deadlines laid down in the 'data
management plan' (see Annex 1); (b) provide information — via the repository —
about tools and instruments at the disposal of the beneficiaries and necessary
for validating the results (and — where possible — provide the tools and
instruments themselves)._

Finally, the TREnD DMP aims to describe:

  * 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). 

  

This document also explains the TREnD’s approach to FAIR data under the
Guidelines on FAIR Data Management in Horizon 2020 (European Commission 2016)
for scientific data management and stewardship.

#####  The TREnD Research design, methodology and analytical tools with
respect the Data Management Plan

The TREnD Project main objective is to stimulate the regional diversification
to be seen more as a co-creation of solutions and concepts on development
problems through. enhancing the resilient capacity of regions; applying a
transitional approach to tailored placed-based innovation policies. The
approach moves from the general question of how strengthening the regional
capabilities in triggering, implementing and managing Transition strategies
towards driving “resilience-building” processes. The scope is to combine
Transition with Resilience for Evolutionary Development in different
territorial contexts towards a reforming process of Cohesion Policy for the
next programming period 2021-2027.

Specifically, the research project seeks to: 1. identify and examine the
factors enabling or hindering the Transitions strategies at a governance
standpoint; 2. assess the territorial features critical to enable a resilient-
building process; 3. unveils the unexploited potentials for “re-shaping
trajectories” disclosed through the windows of local opportunities due to the
external shocks regions are continuously exposed to.

The research proposal exploits and moves forward the findings of the MAPS-LED
project, consistent with the connection of knowledge based urban development
(KBUD) and Entrepreneurial Discovery Process (EDP). The MAPS-LED project
demonstrated: a) innovation policy and urban planning act in a complementary
way for supporting both knowledge dynamics and regeneration of local economy;
b) case studies analysis from Boston, Cambridge and San Diego clusters allowed
identifying the link between city planning initiatives and S3 by introducing
the innovation-driven urban policy as an important phase of the EDP process.

Concurrently, TREND project harnesses “TM” as a medium for EDP by deepening
the understanding of S3 in shaping the policies for regional economic
development. The research project spreads knowledge about regional economic
diversification by providing a platform in the shape of an Open Access Toolkit
to policy-makers and policy-users (regional authorities, academics,
stakeholders, and urban advocacy groups, not-for-profit organisations). The
OpenAT will provide a set of indicators regarding 1) context, 2) result, and
3) performance as metrics of resilience-building process within TM strategies.
The following figure depicts the conceptual framework sheltering the OpenAt
platform.

**Figure 1 The conceptual framework of the OpenAT platform**

At this purpose the Research design and the methodological approach is in four
phases:

  1. **The conceptual phase** looks at converting the theoretical frame of the project into a realistic and appropriate research design (Methodology, data, methods). The characterization of regions is defined upon a set of indicators (socio-economical) concerning the past development trajectories (e.g. Path-dependency) and the local degree to shift into a related/unrelated diversification, in the context of the gap between core and lagging regions. 

  

  2. **The Implementation phase** involves the collection of data and the preparation of data for analysis, specifying: 

     * What data will be collected; 

  

     * How the data will be collected; 

  

     * Who will collect the data; 

  

     * The data collection procedure (i.e., what order forms are filled out, what the interview questions are). 

  

  

  

Research data will be projected into a GIS mapping database to help link the
theoretical framework to the Territorial/urban dimension of Cohesion policy
from an evolutionary perspective.

  3. **The Evaluation Phase** involves the implementation of the research activities in terms of the pre-set goals and objectives sketching out how external shocks can provide latent opportunities to re-orient local development trajectories. The case studies are assessed according to the “back casting” approach in order to fully exploit the window of local opportunity disclosed in the aftermath of shocks and to design TM. 

  

  4. **The Research strategy** will be incrementally developed over the project lifetime to upgrade metrics of TM and Resilience building process to be implemented through the Open Access Toolkit. 

  

  

The areas of investigation follow the scenario depicts in the following map.

**Figure 2 TREnD Scenario: areas of inquiry and key themes**

The research data are produced concerning:

  * Literature review on the key themes relevant for the project based on a structured form to archive the information collected (figure 2); 

  

  * Methods for producing research data; - Key data sources for the investigation; - Key data Analysis tools. 

  

**Figure 3 Literature Review Data**

**Figure 4 Methods, Key data source and analysis tools**

##  1 DATA SUMMARY

The research data produced throughout the TREND project life cycle range from
quantitative, secondary data drawn from official statistics to qualitative,
empirical data to be collected through a variety of methods such as surveys,
interviews, focus groups, field work and observations. Indeed, both
qualitative and quantitative approaches will be applied to the case studies
analysis to be developed through several data analysis techniques.

In order to provide a synopsis of the research data to be produced during the
course of the TREnD project, the following table shows the main data types and
sources of data as well as the common file formats, in which the data will be
presumably stored.

**Table 1 Data sets: general information**  
  
<table>  
<tr>  
<th>

**Data Set**

**No**

</th>  
<th>

**Data Type(s)**

</th>  
<th>

**Data Origin/SourceType(s)**

</th>  
<th>

**WP No**

</th>  
<th>

**File Format Type(s)**

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

Quantitative Survey data:

Statistical data (economy,

1 environment, demography, social, business environment, institutions and
policy, spatial)

</td>  
<td>

Official data sources (e.g. US Census

Bureau, European Open data portal,

IMF, WB, Eurostat, etc.)

</td>  
<td>

1, 2, 3

</td>  
<td>

.xls +.csv

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

2 Literature & desk research

</td>  
<td>

On-line library, policy open data open access journal, Publicly available data

</td>  
<td>

1, 2

</td>  
<td>

.doc + .pdf

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

3 Geospatial data

</td>  
<td>

Official and open data sources (e.g.

Esri Open Data, Global Map, Open

Topography, USGS Land Cover

Institute, etc.)

</td>  
<td>

2,3,4

</td>  
<td>

.shp

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

4 Stakeholders data collection

</td>  
<td>

Primary data

</td>  
<td>

2,3

</td>  
<td>

.xls

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

Face-to-Face Interview

5 recordings, transcripts, field notes and Questionnaires data

</td>  
<td>

Primary data

</td>  
<td>

2,3,4

</td>  
<td>

.xls + .doc +.pdf

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

Multimedia data related to the

6 Project Communication and Dissemination

</td>  
<td>

Videos

Photos

Audio recordings Science blogs

</td>  
<td>

1,2,3,4

</td>  
<td>

XML, JPEG, TIF, PNG, MP3, MP4,

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

7 Research data validation

</td>  
<td>

Primary data

</td>  
<td>

2,3

</td>  
<td>

xls

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

The table 2 provides a short description of each data set in line with the
corresponding purpose and utility.

**Table 2 Datasets: datatype description, purpose and utility**  
  
<table>  
<tr>  
<th>

**Data Set**

**No**

</th>  
<th>

**Description**

</th>  
<th>

**Purpose**

</th>  
<th>

**Utility**

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

**1**

</td>  
<td>

The dataset contains the data gathered from the official sources and organized
in quantitative survey forms.

The survey contains four main categories:

_**i. Socio-Economic (population dynamics; business environment, quality of
life, economics);** _

</td>  
<td>

Understanding the past development trajectories of the regional context under
investigation and provide a detailed depiction of the case

</td>  
<td>

The information deriving from the quantitative survey will highlight the
shocks and stresses the regional context was exposed to and will allow the
identification of the responses undertaken to face

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

</th>  
<th>

  2. _**Research and Innovation (Researchside);** _

  

  3. **_Science and Technology (Development side)_ iv. _Urbanization (physical and spatial dimension)_ **

  

  

**v._Environment (natural resources, climate changes)_ **

for each category, sub-categories are identified including those indicators
listed according to the sources classified for US and EU statistical data, as
reported in Table 1.

</th>  
<th>

study selected and/or areas of inquiry

</th>  
<th>

with the challenges experienced. At city/urban level, it will allow to
understand the effects/impacts of such responses and assess the coherence of
the response with the shock/stress experiences

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

**2**

</td>  
<td>

The dataset contains data from the literature review action. Data about
literature will be collected through the literature review form aiming to
collect all the main information of any source analyzed (figure 2).

</td>  
<td>

Defining clearly the theoretical and methodological TREnD concepts; provide
the basis to elaborate the framework for the analysis of quantitative data for
the setting of the

OpenAT

</td>  
<td>

The information deriving from this activity will contribute to better define
the data framework for the OpenAT as well as for the advancement of the field
concerning the TREnD topics

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

**3**

</td>  
<td>

This dataset contains all the geospatial data related to the geographical unit
of analysis under investigation, including the main source maps as well as the
spatialization of the quantitative data contained in the quantitative survey
both at regional and city/urban level.

</td>  
<td>

Building a GIS on quantitative data (data set n.1), both at the regional and
city/urban level, to spatially investigate the behavior of research data.

</td>  
<td>

The output GIS research data will contribute to building the OpenAT platform,
allowing to the final users to understand which areas are particularly
sensitive to vulnerability factors. This process will allow a better tailor-
made and targeting policy design.

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

**4**

</td>  
<td>

The dataset contains all the data related to the main potential stakeholders
to contact and involve in the TREnD project. They will be selected based on
the official roles they play within the selected case studies.

</td>  
<td>

Identifying the main stakeholders who can contribute to the definition of the

OpenAT objectives and potential users.

</td>  
<td>

The activity will allow to better design, implement and validate the OpenAT
through an User Design oriented approach.

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

**5**

</td>  
<td>

The dataset contains data on the governance structure, resilience-based policy
initiatives undertaken in response to schoks, stakeholders involvement in the
initiatives, the strategies adtoped as well the financial data related to the
implementation of actions. The qualitative and quantitative data are organized
in the form of interview, including the following observation fields:

  1. Information on the actor selected; 

  

  2. Role of the actor selected with respect the initiative under investigation; 

  

  3. Coherence of the actor selection with respect the topics of the project; 4. Governance structure analysis; 

  

  

5\. Stakeholder analysis;

</td>  
<td>

Understanding the key success factors as well as the obstacles encountered
during the implementation of resilience-building processes and transition

management

strategies implementation

</td>  
<td>

The research data will allow improving the OpenAT framework providing
information on the key characteristics of the governance processes and
structure allowing a better implementation of resiliencebased processes and
transition management-oriented strategies.

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

</td>  
<td>

  6. Strategy analysis 

  

  7. Financial analysis 

  

  

</td>  
<td>

</td>  
<td>

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

**6**

</td>  
<td>

The dataset contains the data related all the dissemination and communication
activities related to the TREnD project

</td>  
<td>

Boosting up the communication and dissemination data generated alongside the
project to the specialized and nonspecialized audience

</td>  
<td>

The data will allow to maximize the impact and the visibility of the TREnD
project

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

**7**

</td>  
<td>

The dataset contains the Research data produced during the project cycle and
subjected to validation for evaluating the relevance with respect to the
topics of the project, the significance and the utility.

</td>  
<td>

Improving the quality of results.

</td>  
<td>

The data from the validation have an internal use for improving the methods
and outputs..

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

Overall, the data collected, generated and processed by the consortium
throughout the TREnD project lifecycle will include 7 datasets and 5 types of
data sources. According to the methods underlined in figure 3, data collection
is finalized to Case study design methodology and Statistical enquire, driven
by open-data tools, and processed for the Open Access Toolkit (OpenAT).

**Figure 5 OpenAT platform overview**

The OpenAT represents the result of the TREnD Project and will be shared with
the local community, entrepreneurs, public authorities and administrations and
other research institutions. These data are based only on processed data and
will be available at the aggregate level and made available for specific
evaluation and dissemination purposes. The OpenAT includes research data
organized in open source through mapping visualization, graphs and tables.
Data are indeed collected to fulfil a list of indicators towards building GIS
mapping database.

Qualitative and quantitative data collected are organized in logical and
functional forms that help integrate information. Survey questionnaires will
be conducted in compliance with the ethical guidelines applicable both in the
EU and in the hosting institutions in the US. The interview forms will
explicitly confirm that no sensitive personal data is collected in the TREnD
project. If any is needed for the scientific integrity of the project, the
nature of the data and the measures of implementation will be ensured in
compliance with the H2020 guidelines.

##  2 FAIR DATA

###  2.1 Making Data Findable, Including Provisions for Metadata

All data and metadata files will be uploaded onto a cloud storage and sharing
facility specifically dedicated to TREnD project (
_http://www.cluds.unirc.it/trend/_ )  .The main features of the TREnD cloud
storage and sharing facility are as follows:

  * Access through the TREnD webpage; 

  

  * Restricted access to registered users only if needed; 

  

  * 1 TB of storage; 

  

  * Sharing of documents/metafiles by/with intra- and extra-consortium users;  Document status and drafting can be checked online. 

  

In addition to local storage, public metadata and datasets will be made
available to users once publications are available on the TREnD’s website and
OpenAIRE sharing web platform. In particular, relevant TREnD’s metadata and
dataset will be uploaded by the involved researchers to the ZENODO
_(https://zenodo.org/_ )  platform, compiling project-related information.
This will enable automatic data extraction from the OpenAIRE platform, thus
ensuring accessibility through a standard platform for Open Data access. The
account at the Zenodo repository is created by the TREnD coordinator,
including TREnD community,  _https://zenodo.org/communities/trend/_ ,  where
the dataset as well as papers, reports and presentations will be published.
The partnership, beneficiaries and partner organization, will follow the
conditions, rules and regulations from the Zenodo repository – including the
settings for accessing the dataset.

Some data may have temporal access restrictions, namely ‘embargo period’.
Temporal access restrictions on data are accepted to support PhD publishing
activities. Nevertheless, data will be shared internally among all the
beneficiaries of the project. Major advantages could arise from the use of
platforms providing dataset with a bibliographic citation and a Digital Object
Identifier (DOI) allowing it to be identified, shared, published and cited.
Only data related to publications will be made openly accessible by default.
Once necessary, all Partners will decide on a case-by-case basis which data
can be released in order to avoid issues related to Intellectual Rights
Protection (IRP) or access at mid-term meetings.

To make data findable and accessible, table 4 describes how each dataset,
including metadata provisions, respect the FAIR requirement.

**Table 3 Datasets accessible and findable**  
  
<table>  
<tr>  
<th>

**Data Type**

</th>  
<th>

**Location**

</th>  
<th>

**Level of accessibility**

</th>  
<th>

**Type of availability and required software tools**

</th>  
<th>

**Information on metadata and additional data information**

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

**Quantitative Survey data:**

**Statistical data (economy, environment, demography,**

**social climate, institutions and policy, spatial)**

</td>  
<td>

Coordinator University data repository and data repository users

</td>  
<td>

Repository users

_http://www.cluds.unirc.it/trend/_ _https://zenodo.org/communities/trend/_

</td>  
<td>

Accessibly and searchable database also with Standard statistical software
(eg.

SPSS) and opensource data analysis software (eg. PSPP).

</td>  
<td>

Metadata will be deposited in the data repository

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

**Literature & desk research **

</td>  
<td>

Coordinator University data repository or other public data repository

</td>  
<td>

Repository users

</td>  
<td>

Accessibly and searchable database with office package

</td>  
<td>

Metadata will be deposited in the data repository

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

**Geospatial data**

</td>  
<td>

Coordinator University data repository or other public data repository

</td>  
<td>

Repository users

</td>  
<td>

Accessibly and searchable Standard spatial analysis software (ArcGIS) and open
source geospatial data software

</td>  
<td>

Metadata will be deposited in the data repository

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

TREnD project will adopt internationally accepted standards and protocols for
documentation and exchange of discovery and use metadata. This ensures
interoperability at the discovery level within international systems and
frameworks. Data generated by TREnD will include qualitative data from semi-
structured interviews, focus groups, workshops and textual analysis. The
Dataset no. 1 will also collect data from revisiting previous studies,
reviewing national and regional secondary data. It will additionally gather
data from public statistics agencies such as Eurostat and US Census Bureau and
similar at national and regional levels.

Datasets will be formalized in structured database for the purposes of the
project, and they will be findable, accessible, interoperable and reusable
(FAIR).

####  2.1.1 Naming conventions, version number and search keywords

The datasets contain different data according to the scope they are collected
for. It is important to formalize a standardization of files by means of
naming convention and clear version numbers to find quickly and easily the
right files.

The following table describes the common language to use when referring to
files and their locations. An example may be: PAU-1-N-i-
demographic_dynamics-R1.xls.

**Table 4 File naming conventions**  
  
<table>  
<tr>  
<th>

**Author**

</th>  
<th>

**Dataset**

</th>  
<th>

**Type**

</th>  
<th>

**Database**

</th>  
<th>

**Description**

**of file**

</th>  
<th>

**Round of Revision**

</th>  
<th>

**Extension**

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

PAU

PA

AU

UU

NEU

LATECH

</td>  
<td>

  1. Statistics 

  

  2. Literature Review 

  

  3. Geospatial data 

  

  4. Stakeholder 

  

  5. Questionnaire 

  

  

</td>  
<td>

  * Numeric 

  

data ( **N)**

  * Text Data 

  

( **TX** )

  * Geo data 

  

( **GEO)**

</td>  
<td>

  1. Socio-Economic 

  

  

(population dynamics; business

environment, quality of life, economics);

  2. Research and 

  

  

Innovation

(Research-side); iii. Science and

Technology (Development side)

  4. Urbanization (physical and spatial dimension) 

  

  5. Environment 

  

  

(natural resources, climate

changes)

</td>  
<td>

Name

</td>  
<td>

R

(number)

</td>  
<td>

.doc

.xls

\----

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

The search keywords will be subjected to a specific dissemination strategy,
related to the digital communication strategy underlies the website of the
project.

###  2.2 Making data openly accessible

Data collection and case study analysis are key methodological aspect of TREnD
project that use open data driven tools.

According to the Open Research Data pilot requirements, all generated data
will be made publicly available, provided that such data do not represent any
economic risk, or if partners cannot give critical information on the
project’s progress to any concurrent public or private entities. Nevertheless,
some datasets may be restricted due to the nature of the data collected. The
table 3 shows which datasets will be made openly available by providing the
reasons when it is not possible.

**Table 5 Datasets: FAIR data Making data openly accessible**  
  
<table>  
<tr>  
<th>

**Data Type**

</th>  
<th>

**Data openly available (y/n)**

</th>  
<th>

**justification**

</th>  
<th>

**Alternative solution**

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

**Quantitative Survey data: Statistical data (economy,**

**environment, demography, social, business environment, institutions and
policy,**

**spatial)**

</td>  
<td>

yes

</td>  
<td>

Not relevant

</td>  
<td>

Not relevant

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

**Literature & desk research **

</td>  
<td>

yes

</td>  
<td>

Not relevant

</td>  
<td>

Not relevant

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

**Geospatial data**

</td>  
<td>

yes

</td>  
<td>

Not relevant

</td>  
<td>

Not relevant

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

**Stakeholders data collection**

</td>  
<td>

no

</td>  
<td>

Despite the contact stakeholders’ data are publicly available, their
information will not be published in order to avoid potential misuse.

</td>  
<td>

The stakeholder information will be integrated into the public scientific
reports. In case any institution or researcher is interested in contact them
the coordinator can forward the list if any privacy concern arise

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

**Face-to-Face Interview recordings, transcripts, field notes and
Questionnaires data**

</td>  
<td>

no

</td>  
<td>

Data about interviews and questionnaires, included recordings, transcripts,
field notes etc. will not be published due to privacy issues

</td>  
<td>

The categorization, processing, analysis and interpretation of the data coming
from these activities will be included in the scientific reports

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

**Multimedia data related to the Project**

**Communication and**

**Dissemination**

</td>  
<td>

yes

</td>  
<td>

Not relevant

</td>  
<td>

Not relevant

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

###  2.3 Making Data Interoperable and Increase Data Re-Use

Data standardization procedures are essential to enable data re-using.
Standardization will be performing to encode unconventional data formats as
well as to data interfaces. Throughout the document, a reference to the
documentation standards widely used by the scientific communities is provided.
Unconventional data formats will be mostly encoded in common and open formats
such as XLS, CSV, TXT to enhance interoperability. All data will be made
available in standard/open formats in accordance with commercial/open software
so as to maximize data exchange between researchers and institutions. In most
cases, a standard vocabulary will be used for meta-data description.

The TREnD DMP recommends the use of Creative Commons attribution license for
research data (e.g. creativecommons.org) and open access publications. TREnD
data should be delivered in a time no longer than one year after the dataset
is finished. Discovery metadata shall be delivered immediately. Some data may
have constraints (e.g. on access or dissemination) and may be exclusively
available for project participants. Details will be evaluated during the
project. The data will be made available according to Open Licenses such as
Creative Commons.

##  3 ALLOCATION OF RESOURCES

The cost of preparing the data following the specifications and initial
sharing is covered by the project. Maintenance of this over time will be
complied by involving other funds from the public body. This is the case of
the OpenAT that will need to be updated constantly.

According to the general rules about open access publications, the project
will assure the coverage of open data costs for research data to the extent
they are eligible for reimbursement under the conditions defined in the TREnD
Grant Agreement. Concurrently, each beneficiary shall be responsible for
applying for reimbursement in open access journals.

##  4 DATA SECURITY

The Web-based platform of the project is designed as a Cloud server and
managed with a protected access protocol by the Università Mediterranea of
Reggio Calabria, PAU Department. At the end of the research project, the
documents will be stored for five years, counting from the end of the project.

**Figure 6 The TREnD website**

All research data supporting publications will be made available for
verification and re-use unless there are justified reasons for keeping
specific datasets confidential. Intellectual Property Rights (IPRs)
management, including joint ownership, transfers of ownership provision and
rules on access rights, would be complied according to ARTICLE 26 — OWNERSHIP
OF RESULT of the Grant Agreement.

##  5 ETHICAL ASPECTS

###  5.1 Ethics requirements

The TREnD Project deals with different kind of data based on Interviews and
official and public Statistical databases warehouses at different geographic
levels to comply with the needed approach to address the implementation phases
with legal provisions and societal norms.

The ethics self-assessment was conducted and taken into consideration of the
EU beneficiaries and TC partners since the inception of the project in order
to get the proposal ‘ethics-ready’ for funding. Consequently, the Consortium
agrees to carry out the RISE action including the highest standards of
research integrity and, in particular, avoiding fabrication, falsification,
plagiarism and/or other research misconduct.

Personal data, during the project, will be treated according to the provisions
of the Directive 95/46/EC on the protection of individuals with regard to the
processing of personal data and on the free movement of such data (DPA), and
the Italian Legislative Decree No. 196/2003. From 25 May 2018, the Regulation
on the protection of natural persons with regard to the processing of personal
data and on the free movement of such data and repealing Directive 95/46/EC
(General Data Protection Regulation - GDPR) - (Regulation (EU) 2016/679) - is
applied.

The objective of this new set of rules is to give citizens back control over
of their personal data, and to simplify the regulatory environment for
business. The data protection reform is a key enabler of the Digital Single
Market which the Commission has prioritized. The reform allows European
citizens and businesses to fully benefit from the digital economy.

After the entry into force of the General Data Protection Regulation, the
definition of ‘personal data’ includes “any information relating to an
identified or identifiable natural person (‘data subject’); 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“ (see Article 4(1) GDPR).

Data gathered by the TREND Project’s members will be analysed and processed
through different activities/methods, depending on the WP and the objective
(see “data management”). The primary data will be structured and used in
performing the open access toolkit web-platform which represents the final
output of the Project. The Project will not focus on data revealing racial or
ethnic origin, political opinions, religious or philosophical beliefs, trade-
union membership, and the processing of data concerning health or sex life.
Further, in the consent form will be requested the authorisation to the
subject for processing the data provided.

OpenAT - Open Access Toolkit - represents the result of the TREND Project and
will be shared with the local community, entrepreneurs, public authorities and
administrations and other research institutions. The data are based on
processed data and will be available at aggregate level and made available for
specific evaluation and dissemination purposes.

Data collection and case study analysis are key methodological aspect of TREND
project that use open data driven tools. Ethical standards and guidelines of
Horizon 2020 will be rigorously applied throughout the whole TREND project
implementation, regardless of the country in which the research is carried
out. As described in the previous chapter, data shall be formalized in
structured databases for the purposes of the project, and they will be
findable, accessible, interoperable and reusable (FAIR). TREnD adheres to Open
Research Data pilot, and thus all generated data will be made publicly
available, provided that such data do not represent any economic risk, or if
partners cannot give critical information on the project’s progress to any
concurrent entities, public or private. TREnD DMP is consistent with the
intellectual property right (IPR) policy (i.e., IP, confidentiality and
publication provisions).

The consortium hence declares its willingness to comply with article 34.2 in
the Grant Agreement; hence obtain any authorisation required under European
law and provide any documentation to the REA upon request.

###  5.2 The ethical issues

The TREnD project focuses on the creation of an open access toolkit on the
basis of an interactive platform which shares data with different users,
policymakers, end-users. The Data Management Plan provides regulations for the
activities dealing with data, involvement of participants and project-internal
procedure. It is important to establish a project environment that stimulates
responsible behaviour and a reflexive attitude in relation to ethical issues.
In this perspective, the Data management will include personal data protection
issues that will be adopted by all the TREnD project’s members. The objective
of knowledge transfers into actions created by research activities will be
used in the OpenAT in order to provide new services for local communities of
entrepreneurs, local policy-makers and public authorities.

####  5.2.1 Research methodology and the potential impact

The TREND project relies on three level of data sources:

  1. official and public statistical data warehouse at different geographic levels (city – regions – Country – EU- non-EU); 

  

  2. on-line and face-to-face interviews; iii) surveys. 

  

  

The first includes statistical data, geographical data, demographic data. The
second include data gathered through interviews of public and private
stakeholders. The third include data deriving from observation, reports and
inquiries.

At the end of the Project, collected data will remain in a repository for five
years and participants can ask to delete the information provided by
contacting the Coordinator of the TREND project.

Paragraph 5.3 explains in detail the management of personal data collected and
consent procedures. The project needs to work following legal requirements
established by the European Commission and national authorities in the areas
of inquiry, in particular concerning data protection and privacy issues. The
project members need to display research integrity in their work, and adhere
to common, established research practices, such as intellectual honesty,
accuracy and transparency in their project activities; It will be stressed
also the priority need to avoid any source of discrimination (by gender and by
race, etc.).

It is important to consider and reflect on the possible implications of the
TREND project outcomes for research participants (individuals as well as
institutions) and society as a whole. Each member of the team will consider
all these areas as utmost important to carry out the research project. These
areas are guaranteed through internal procedures and the respect of European
directives.

####  5.2.2 Data Management

The data in the TREND project ranges from aggregate, quantitative data to
detailed qualitative data collected.

The WPs activities will be performed to fulfil the Ethical requirements,
according to the research objectives to be pursed in each WP, as detailed
below:

**WP1** sets the stage and provides the frame of reference from which to
develop the conceptual framework and assessment methodology to integrate
Transition and Resilience building policies.

**WP2** and **WP3** are mainly finalized to the case studies analysis for the
potential of the implementation of the transition management in a tailored-
based approach on the local contexts. A continuous evaluation and
synthetization will be developed in Workshops with Community involvement and
Stakeholders as well as in the Mid-term meetings that help the consortium to
consistently review the planned research activities.

**WP4** is dedicated to the design, development and testing of an online open
access toolkit which will allow dynamic visualization of different indicators
and datasets for different areas and periods of time, with the purpose to
facilitate knowledge-based policy making towards territorial cohesion and
regional development. The OpenAT will be empowered by the decision of the
consortium to be part of “Research Data Pilot - Article 29.3 – Open access to
research data”.

According with the Guidance of ethics of H2020- checklist table, _the 5.3
version (21 February 2018)_ , the project fulfils the ethics issues checklist
along with the tasks and WPs as reported in the following two tables, wherever
the research activities will be performed and executed. **Table 6 TREnD
project Tasks and WPs**  
  
<table>  
<tr>  
<th>

**TASK**

</th>  
<th>

**Tools used**

</th>  
<th>

**WP**

</th>  
<th>

**Ethical requirement Fulfilled**

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

**Data Collection**

</td>  
<td>

  * Spatial data analysis 

  

  * Longitudinal 

  

studies

  * Desk analysis of official documents 

  

</td>  
<td>

1,2,3

</td>  
<td>

Data gathered based on an assessment methodology to fulfil a list of
indicators from literature towards building GIS mapping database.

Qualitative and quantitative data collected are organized in a logical and
functional forms that help integrate the information

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

**Surveys**

</td>  
<td>

Survey Form

</td>  
<td>

1,2,3

</td>  
<td>

Survey questionnaires will be conducted in compliance with the Ethical
guidelines applicable both in EU and in the hosting institutions and won’t
regard personal data nor political opinions.

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

**Interviews**

</td>  
<td>

Informed Consent form

</td>  
<td>

1,2,3

</td>  
<td>

The interview forms will explicitly confirm that no sensitive personal data is
collected in the TREND project. If any is needed for the scientific integrity
of the project, the nature of the data and the measures of implementation will
be ensured compliance with the H2020 guidelines.

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

**OPENAT**

</td>  
<td>

Online toolkit

</td>  
<td>

1-4

</td>  
<td>

The data integrated in the open access toolkit will rely on materials used
only for research purposes and official open data collection.

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

**Table 7 Ethics Issues checklist table**  
  
<table>  
<tr>  
<th>

**PROTECTION OF PERSONAL DATA**

</th>  
<th>

**YES/NO**

</th>  
<th>

**Information to be provided**

</th>  
<th>

**Documents to be provided/kept on file**

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

**Does your research involve personal data collection and/or processing?**

</td>  
<td>

YES

</td>  
<td>

</td>  
<td>

Data deriving from interviews (interview forms and digital recording) and
observation will be stored in the CLUDs Lab facilities at the UNibwrsity of
Reggio Calabria (Desktops);

Data will be protected through a password encryption;

Informed consent form will be provided to the participants upon gathering

</td>  
<td>

the Coordinatorr will require all the requested authorisations to the
competent National

Authorities both for personal data protection and concerning the processing of
personal data in the electronic communication sectors.

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

**IF**

**YES:**

</td>  
<td>

\- Does it involve the collection or processing of sensitive personal data
(e.g.

</td>  
<td>

</td>  
<td>

NO

</td>  
<td>

</td>  
<td>

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

</td>  
<td>

health, sexual lifestyle, ethnicity, political opinion, religious or
philosophical conviction)?

</td>  
<td>

</td>  
<td>

</td>  
<td>

</td>  
<td>

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

</td>  
<td>

\- Does it involve processing of genetic information?

</td>  
<td>

</td>  
<td>

NO

</td>  
<td>

</td>  
<td>

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

</td>  
<td>

Does it involve tracking or observation of participants

(e.g surveillance or localization data, and Wan data, such as IP address,
MACs, cookies etc.)?

</td>  
<td>

</td>  
<td>

NO

</td>  
<td>

</td>  
<td>

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

###  5.3 Protection of personal data

The University of Reggio Calabria (coordinator of the TREND project) has
appointed as the Data Protection Officer (Under Articles. 37 et seq. of EU
Regulation 2016/679 on the protection of personal data GDPR) **Alessandro
Andriani** , Lawyer, employed at the University Office of legal and
administrative affairs. The contact information are detailed as following:

**Office** : Servizio Speciale Affari Legali, Contenzioso del Lavoro ed
Attività Negoziali (Legal and Admistrative affairs);

**Address** : Salita Melissari Feo di Vito – Università Mediterranea di Reggio
Calabria – Italy;

**Phone** :+39 0965 1691365;

**Fax** :+39 0965 27901;

**E-mail** : _aandriani@unirc.it_

The contact details of the Data Protection Officer will be made available to
all data subjects involved in the research.

The Partner Organisations – Third Country Partners – Northeastern University
of Boston (MA) and Latech University (LA) are not required to appoint a DPO
under GDPR and a detailed data protection policy for the project will be kept
on file.

Personal data (see Article 4(1) GDPR), eventually collected during the TREnD
project, will be treated according to the national and EU legislation on
privacy and data collection. The Regulation on the protection of natural
persons with regard to the processing of personal data and on the free
movement of such data and repealing Directive 95/46/EC (General Data
Protection Regulation - GDPR) - (Regulation (EU) 2016/679) – is applied. No
sensitive personal data will be collected in TREnD Project.

####  5.3.1 Technical measures

The personal data may be collected during events organised by TREnD project
partners and through interviews for research purpose. The personal data
collection will be made according to the following technical measures:

  * Before any data collection event and/or interview, participants will be informed about: (1) aim and scope of the event and the interview as well; (2) how their data will be collected, stored and protected and either destroyed or reused at the end of the research; (3) they will be requested to provide their informed consent in advance. 

  

  * Interviews and questionnaires will be organized in an “Interview form” that together with the “Survey Form” allows to collect data for the selected case study in Boston (MA) and in Ruston (LA), with respect the topics of the research. 

  

  * The qualitative and quantitative data are organized in the form of interview to selected actors who play official roles within the selected case studies. 

  

  * The anonymization of data will take into consideration the data features, environment and utility. In particular, the data features concern two kind of sources: interviews and public/official data-warehouse for statistics survey. The anonymization techniques will be applied for data gathered through interviews. According with the consent form, anonymization of data will be ensured to remove personal identification information from gathered data. The responsible of the project (Coordinator) will apply a procedure to remove personal identification in the data entry process stage, by keeping the personal information (gathered by face-to-face interview) in a repository at the University of Reggio Calabria, in agreement with the Data Protection Officer requirements. In case of on-line interview, the anonymization techniques will be applied from the preparation of the questionnaire to the data entry process, by guarantee the anonymization of data related to the personal identification of the interviewed. 

  

####  5.3.2 Organizational measures

The organizational measures are supposed to offer the highest guarantees to
safeguard the rights of the research participants:

  * Data will be shared among the project partners and used for scientific purposes by the practitioners involved in TREnD Project, such as writing articles 

  

  * Data will be analyzed and presented anonymously, and finally will be filed and protected in the database included in the Web-based platform of the project. 

  

  * If a participant to semi-structured interview regarding research activities wants to remove the data already gathered, he/she has the right to exercise his/her rights by addressing the request to the Data Protection Officer appointed by the University of Reggio Calabria Coordinator of the project, within one month from the participation. 

  

  * The Web-based platform is designed as Cloud and managed with a protected access protocol by the Università Mediterranea of Reggio Calabria, PAU Department. 

  

  * At the end of the research project, the documents will be stored for five years, counting from the end of the project. 

  

  * Digital data will be stored in a LAN server at the Università Mediterranea of Reggio Calabria, PAU Department. Paper documents will be stored in rotated security locker at the Università Mediterranea of Reggio Calabria, PAU Department. The LAN servers will be accessed with password by PAU Department personnel only. These data can be made available to other scientific practitioners at request. Università Mediterranea of Reggio Calabria, PAU Department is a body authorized to manage sensitive data pursuant to Presidential Decree (Italy) 318/1999. 

  

When personal data are transferred from the US to the EU, it is confirmed that
such transfers will comply with the laws of the country (the US) in which the
data was collected.

In case activities undertaken in the US raise ethics issues, it is confirmed
that the research conducted outside the EU is legal in at least one EU Member
State.

Ethical standards and guidelines of Horizon 2020 will be rigorously applied
throughout the whole TREnD project implementation, regardless of the country
in which the research is carried out.

####  5.3.3 Informed consent procedures.

The informed consent procedures in regard to data processing are used for both
the participation to the events organised by the TREnD project partners, and
the participation to semi-structured interviews regarding research activities.

Informed consent is meant to guarantee the voluntary participation in the
research, to address privacy issues. The informed consent process consists of
three components: adequate information (e.g. research goals, event scope),
voluntariness (e.g. possibilities to refuse participation) and competence
(e.g. awareness of the consequences).

In detail,

  * information on the Project will be provided to any participant, in an Information Sheet describing the purposes of the research, the organisation and funding of the Project, as well as information about what will happen with the results of the research; 

  

  * any participant will be given the opportunity to ask questions about the project and its participation; 

  

  * any participant will agree to participate voluntarily to the project; 

  

  * any participant will be able to withdraw her/his participation at any time without giving reasons ant she/he will not be penalised for withdrawing nor be questioned on the reasons she/he has withdrawn; 

  

  * anonymization of data will be ensured to remove personal identification information from gathered data. It will result in anonymized data that cannot be associated with any individual. Any participant will be explained of the procedures regarding confidentiality; 

  

  * The project findings are expected to be published within public reports. Anonymized data may be used in policy notes, conferences and workshops and as communication material; 

  

  * any participant will consent to use data gathered being stored and used for academic purposes, namely in the context of the TREnD Project; 

  

  * any participant will agree to sign and date an ‘Informed Consent Form’. Consent forms and information sheets will be provided in English language. One copy of the form is to be given to Coordinator University researcher and one copy is for the interviewed to keep for his/her records. Consent forms (in their paper version) will be collected in a specific repository at the Università Mediterranea of Reggio Calabria, PAU Department 

  

  * any participant may exercise her/his individual rights on her/his personal data (including e.g. the right to access, the right to ask for rectification of, and the right to delete personal data) by sending an email to the Data Protection Officer (DPO) appointed by the University of Reggio Calabria Coordinator of the project. Any requests to exercise participant’s rights can be free of charge and will be addressed by the DPO as early as possible and always within one month. 

  

####  5.3.4 Data Processing.

Primary data gathered by the TREnD Project’s members will be analysed and
processed through different activities/methods, depending on the WP and the
objective (Table 1).

Within the WP1, data will be collected through desk analysis and literature
review in order to carry out the conceptual base of the project.

The WP2 and WP3 will focus on case-studies to be developed during the
secondments at the Host Institutions in the USA: Boston (MA) and Ruston (LA).
Qualitative and quantitative data will be collected by interviewing (in
person, by video/phone calls or online) selected actors who play key roles
within the case. Collected data will be recorded within the “Interview form”
and the “Survey Form”, accompanied by the purposely designed consent form.

The WP4 will implement the resulting indicators within the open access toolkit
(Research Data Pilot art. 29.3 of the GA).

The Project will not focus on data revealing racial or ethnic origin,
political opinions, religious or philosophical beliefs, trade-union
membership, and the processing of data concerning health or sex life. Further,
in the consent form will be requested the authorisation to the subject for
processing the data provided.

Two templates of the informed consent forms are defined, the former in regard
to the participation to interviews, the latter in regard to the participation
to TREnD events.

Both templates are defined in the form of handout that introduces the
participant to the research project and states the objects and ethical
procedures that will be taken.

The Informed Consent Form includes the information sheet that provides clear,
accessible and sufficient information to a prospective research volunteer so
that they can make an informed decision whether to take part in the research.

In case of the participation to semi-structured interview, the participant
will find a Research Ethical Consent Form that he/she needs to fill out and
sign. The informed consent forms (in language and terms intelligible to the
participants) will be included in the grant agreement and kept on file. The
Template of informed consent forms and the participant information sheet are
provided as follows.

**Participant Information Sheet**

**TREnD Project Transition with Resilience for Evolutionary Development**  
  
<table>  
<tr>  
<th>

_You are being invited to take part in this research project. We invite you to
read this Participation Information Sheet as we would appreciate to discuss
and share your specific experiences and views on the key topics of our
project, about which you may talk to anybody you feel comfortable with. Please
take some time to reflect on whether you would like to participate or not. If
there’s anything you don’t understand in this information sheet, feel free_

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

_to ask any questions at any time._

</td>  
<td>

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

_Purpose of the Project_

The TREnD “Transition with Resilience for Evolutionary Development” project is
based on a research project integrated with a higher education agenda
finalized at strengthening the regional capabilities in triggering,
implementing and managing Transition Management (TM) strategies towards
driving “resilience-building” processes. The main aim is to combine Transition
with Resilience for Evolutionary Development (TREnD) in different territorial
contexts towards a reforming process of Cohesion Policy.

TREnD is a ground-breaking proposal envisioning TM in the mentioned framework
addressing regional economic diversification.

Specifically, the research project seeks to:

  1. identify and examine the factors enabling or hindering the Transitions strategies at a governance standpoint; 

  

  2. assess the territorial features critical to enable a resilient-building process; 

  

  3. unveils the unexploited potentials for **“re-shaping trajectories”** disclosed through the windows of local opportunities due to the external shocks regions are continuously exposed to. 

  

  

This project has received funding from the [specific data on the grant
agreement will be added].

The research project is carried out through a partnership between higher
education institutions, University of Reggio Calabria (IT), Utrecht
University, Aristotle University of Thessaloniki, (GR), University of Palermo
(IT), Northeastern University of Boston, Louisiana Tech University.

_Participant Selection_

You are invited to contribute to this project due to your experience as a city
representative, academic, representative of civil society, representative of
private stakeholder.

_Voluntary Participation_

Your participation in this research is entirely voluntary. You can choose
either to participate or to decline the invitation. You can withdraw at any
time and request the data to be deleted or request access to the data,
(including e.g. the right to access, the right to ask for rectification of,
and the right to delete personal data) by sending an email to Data Protection
Officer (DPO) appointed by the University of Reggio Calabria, Coordinator of
the project, as specified in the section “Rights of research participants”.

_Procedures and Confidentiality_

The information collected is confidential and data gathered will be
anonymized.

Any summary interview content, or direct quotations from the interview, that
are made available through academic publication or other academic outlets will
be anonymized so that you cannot be identified, and care will be taken to
ensure that other information in the interview that could identify yourself is
not revealed. Any variation of the conditions above will only occur with your
further explicit approval, or a quotation agreement could be incorporated into
the consent form-In this case, with regards to being quoted, please initial
next to any of the statements that you agree with:

I wish to review the notes, transcripts, or other data collected during the
research pertaining to my participation.

I agree to be quoted directly.

I agree that the researchers may publish documents that contain quotations by
me.

_Risks_

The survey might potentially include sensitive and personal issues (i.e.
political opinions, cultural values). These kinds of personal data shall be
processed fairly and lawfully, and shall not be further processed in any
manner incompatible with the initial purpose. Moreover, you do not have to
answer any question that might make you feel uncomfortable.

_Reimbursement_

There will be no reimbursement for your participation.

_Data storage_

All data will be stored for five years, counting from the end of the project.
These data can be made available to other scientific practitioners at request.

Sharing the Results

The project findings are expected to be published within public reports. The
data, for example, will be used in policy notes, conferences and workshops and
as communication material, according to the procedures and confidentiality
statement.

_Identification of investigators_

If you have any questions or concerns about the research, please feel free to
contact:

  * Primary Contact Coordinator University of Reggio Calabria (IT): Carmelina Bevilacqua 

  

E-mail: cbevilac@unirc.it;

  * Contact person at Utrecht University (NL): Pierre-Alexandre Balland, E-mail: _p.balland@uu.nl_ ; 

  

  * Contact person at Aristotle University of Thessaloniki, (GR): Chistina Kakderi, E-mail: _christina@urenio.org_ ; 

  

  * Contact person at University of Palermo, (IT): Vincenzo Provenzano, E-mail: _Vincenzo.provenzano@unipa.it_

  

_Rights of research participants_

You may withdraw your consent at any time and discontinue participation
without penalty. You are not waiving any legal claims, rights or remedies
because of your participation in this research study.

If you have questions regarding your rights as a research participant, contact
the Data Protection Officer Alessandro Andriani, University of Reggio
Calabria. The contact information are detailed as following:

Office: Servizio Speciale Affari Legali, Contenzioso del Lavoro ed Attività
Negoziali (Legal and Admistrative affairs);

Address: Salita Melissari Feo di Vito – Università Mediterranea di Reggio
Calabria – Italy;

Phone:+39 0965 1691365;

Fax:+39 0965 27901; E-mail: _aandriani@unirc.it_ .

**Informed Consent Form**

**TREnD Project Transition with Resilience for Evolutionary Development**

_By signing this letter of consent, you acknowledge that you have been
informed on the purpose and nature of the research and that the information
you provide will remain anonymous._  
  
<table>  
<tr>  
<th>

**I, the undersigned, confirm that (please tick box as appropriate):**

</th>  
<th>

**YES**

</th>  
<th>

**NO**

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

I have read and understood the information about the TREnD Project, as
provided in the Participant Information Sheet

</td>  
<td>

</td>  
<td>

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

I have been given the opportunity to ask questions about the projects and my
participation

</td>  
<td>

</td>  
<td>

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

I voluntarily agree to participate in the project

</td>  
<td>

</td>  
<td>

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

I understand I can withdraw at any time without giving reasons and that I will
not be penalised for withdrawing nor will I be questioned on why I have
withdrawn

</td>  
<td>

</td>  
<td>

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

The procedures regarding confidentiality have been clearly explained (e.g. use
of names, anonymization of data, etc.) to me

</td>  
<td>

</td>  
<td>

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

The use of the data in sharing, archiving, dissemination and publications has
been explained to me

</td>  
<td>

</td>  
<td>

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

I consent to the data gathered being used for this study

</td>  
<td>

</td>  
<td>

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

I agree to sign and date this informed consent form

</td>  
<td>

</td>  
<td>

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

**Name:**

</th>  
<th>

</th>  
<th>

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

**Age:**

</td>  
<td>

</td>  
<td>

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

_I confirm I am 18 years of age or over_

</td>  
<td>

**YES**

</td>  
<td>

**NO**

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

</td>  
<td>

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

**Gender identity**

</td>  
<td>

**FEMALE**

</td>  
<td>

**MALE**

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

</td>  
<td>

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

**Organization:**

</td>  
<td>

</td>  
<td>

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

**Role:**

</td>  
<td>

</td>  
<td>

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

**Date:**

</td>  
<td>

</td>  
<td>

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

**Signature:**

</td>  
<td>

</td>  
<td>

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

**Informed Consent Form Participation to an Event of the Project when
photographs/videos/tape recordings will be taken**

**TREnD Project Transition with Resilience for Evolutionary Development**

TITLE OF THE EVENT  
  
<table>  
<tr>  
<th>

**Name:**

</th>  
<th>

</th>  
<th>

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

**Age:**

</td>  
<td>

</td>  
<td>

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

_I confirm I am 18 years of age or over_

</td>  
<td>

**YES**

</td>  
<td>

**NO**

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

</td>  
<td>

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

**Gender identity**

</td>  
<td>

**FEMALE**

</td>  
<td>

**MALE**

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

</td>  
<td>

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

**Organization:**

</td>  
<td>

</td>  
<td>

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

**Role:**

</td>  
<td>

</td>  
<td>

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

Hereby authorizes

_The TREnD PARTNER ……_

To Video/Audio Recording and/or Web streaming of the Event.

_**The TREnD PARTNER ……** _

undertakes that, in respect of any video/audio tapes made, every effort will
be made to ensure professional confidentiality and that any use of video/audio
tapes, or descriptions of video/audio tapes, will be for professional purposes
only and in the interests of improving research activities.

There will be no reimbursement for Video/Audio Recording and/or Web streaming.  
  
<table>  
<tr>  
<th>

**Date:**

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

**Signature:**

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

If you have any questions about this event feel free to ask the Organizer at
any time.

Data will be treated in compliance with national and EU legislation (GDPR).

**Third countries**

In case activities undertaken in non-EU countries will raise ethics issues,
the research conducted outside the EU will be legal in at least one EU Member
State.