Introduction  4

1\. Data Summary  5

2\. FAIR data  7

2.1. Making data findable, including provisions for metadata  7

2.2. Making data openly accessible  8

2.3. Making data interoperable  9

2.4. Increase data re-use (through clarifying licences)  10

3\. Allocation of resources  10

4\. Data security  10

5\. Ethical aspects  10

#  Introduction

This deliverable describes the Data Management Plan (DMP) for the COHESIFY
project, funded by the EU’s Horizon 2020 Programme under Grant Agreement
693427. The purpose of the DMP is to set out the main elements of the data
management policy that will be used by the consortium with regard to the
datasets that will be generated by the project. The DMP lists the COHESIFY
datasets and describes the key data management principles, notably in terms of
data standards and metadata, sharing, archiving and preservation.

This is the second version of the COHESIFY DMP, which can be updated further
throughout the course of the project. It draws on Horizon 2020 guidance and
institutional guidance of the lead partner (European Policies Research Centre,
University of Strathclyde). The main reasons for this update is to take
account of the changes to European Commission guidance, which provide a new
structure; and to reflect a decision to opt-out of the open data provisions
under two datasets (Interviews with stakeholders, and focus groups with
citizens).

The structure of the DMP is as follows. First, the dataset references and
names are specified, including the responsible partner/s and work package/s.
The next section describes each dataset, including the data sources, file
formats and estimated volume to plan for storage and sharing. The third
section sets out the data standards and metadata approach. Data sharing,
archiving and preservation provisions are addressed in sections 5 and 6
respectively. The final section sets out the ethical considerations.

#  Data Summary

COHESIFY will produce seven datasets during the lifetime of the project. The
data is quantitative and qualitative in nature and will be analysed from a
range of methodological perspectives for project development and scientific
purposes with results disseminated through scientific conferences and
publications. A list of the datasets is provided in table 1, identifying the
name, content, partner responsible for generating the data and associated work
package.

Table 1: COHESIFY Datasets  
  
<table>  
<tr>  
<th>

No.

</th>  
<th>

Name

</th>  
<th>

Dataset (DS) file name

</th>  
<th>

Responsible partner

</th>  
<th>

Work

Package

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

1

</td>  
<td>

Territorial context

</td>  
<td>

COHESIFY1_POLIMI_Territorial_context

</td>  
<td>

POLIMI

</td>  
<td>

2

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

2

</td>  
<td>

Territorial typology

</td>  
<td>

COHESIFY2_DUT_POLIMI_Territorial_typology

</td>  
<td>

DUT, POLIMI

</td>  
<td>

2

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

3

</td>  
<td>

Implementation

</td>  
<td>

COHESIFY3_EUREG_Implementation

</td>  
<td>

EUREG

</td>  
<td>

3

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

4

</td>  
<td>

Party manifestos

</td>  
<td>

COHESIFY4_MANN_Party_manifestos

</td>  
<td>

MANN

</td>  
<td>

2

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

5

</td>  
<td>

Stakeholder survey

</td>  
<td>

COHESIFY5_EUREG_CUT_Stakeholder_survey

</td>  
<td>

EUREG, CUT

</td>  
<td>

3, 4

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

6

</td>  
<td>

Interviews

</td>  
<td>

COHESIFY6_EUREG_CUT_interviews

</td>  
<td>

EUREG, CUT

</td>  
<td>

3, 4

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

7

</td>  
<td>

Media frames

</td>  
<td>

COHESIFY7_CUT_Media_frames

</td>  
<td>

CUT

</td>  
<td>

4

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

8

</td>  
<td>

Citizens survey

</td>  
<td>

COHESIFY8_STRATH_Citizens_survey

</td>  
<td>

STRATH

</td>  
<td>

5

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

9

</td>  
<td>

Focus groups

</td>  
<td>

COHESIFY9_STRATH_Focus_groups

</td>  
<td>

STRATH

</td>  
<td>

5

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

The COHESIFY project will apply a mixed methods approach collecting both
qualitative and quantitative data. Primary data will be mainly collected in
the case study countries/regions (through surveys, interviews and focus
groups), while secondary data will be collected from publicly available EU and
national sources (such as Eurostat/Eurobarometer, academic and policy
literature, party political programmes and policy documents and online media).

A brief description of each dataset is provided in table 2, including the data
source, file formats and estimated volume to plan for storage and sharing.

Table 2: COHESIFY Datasets  
  
<table>  
<tr>  
<th>

Dataset

</th>  
<th>

Description

</th>  
<th>

Source

</th>  
<th>

File format

</th>  
<th>

Volume

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

1.Territorial settings

</td>  
<td>

A dataset of territorial contextual variables for analysis and to inform the
case studies using public datasets.

</td>  
<td>

public datasets

</td>  
<td>

CSV, DTA, SAV

</td>  
<td>

0.5 mb

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

2.Territorial typology

</td>  
<td>

A territorial typology for analysis and to inform the case studies using
public datasets.

</td>  
<td>

public datasets

</td>  
<td>

CSV, DTA, SAV

</td>  
<td>

0.5 mb

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

3\.

Implementation

</td>  
<td>

A dataset of territorial funding, implementation data to inform the case study
analysis using public datasets.

</td>  
<td>

public datasets

</td>  
<td>

CSV, DTA, SAV

</td>  
<td>

0.5 mb

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

4.Party manifestos

</td>  
<td>

A dataset of political programmes (e.g. election manifestos, coalition
agreements) will be constructed to analyse the framing of Cohesion policy at
the regional level using an existing database and publicly available data.

</td>  
<td>

public datasets

</td>  
<td>

CSV, DTA, SAV

</td>  
<td>

10 mb

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

5.Stakeholder survey

</td>  
<td>

An online survey will be conducted to assess stakeholders’ views of Cohesion
policy implementation, performance and communication in the case study
regions/countries using a semistructured questionnaire.

</td>  
<td>

original survey

</td>  
<td>

CSV

</td>  
<td>

3 mb

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

6\. Interviews

</td>  
<td>

Interviews will be conducted to assess stakeholder views of Cohesion policy
implementation, performance and communication in the case study
regions/countries.

</td>  
<td>

original interviews

</td>  
<td>

PDF,

WORD

DOC

</td>  
<td>

20 mb

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

7\. Media frames

</td>  
<td>

A dataset of newspaper articles focusing on Cohesion policy

(regional/national/European) extracted through a crawling technique to analyse
the media framing of Cohesion policy in relation to citizens’ attitudes to the
EU.

</td>  
<td>

Newspaper

articles

</td>  
<td>

PDF

</td>  
<td>

20 mb

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

8.Citizens survey

</td>  
<td>

A representative citizens survey will be conducted in each of the case study
regions to measure perceptions of Cohesion policy and attitudes to and
identification with the EU.

</td>  
<td>

original survey

</td>  
<td>

CSV, DTA, SAV

</td>  
<td>

20 mb

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

9.Focus groups

</td>  
<td>

Focus groups will be conducted to explore citizens’ perceptions of Cohesion
policy and identification with the EU in each of the case study regions.

</td>  
<td>

original focus groups

</td>  
<td>

PDF,

WORD

DOC

</td>  
<td>

15 mb

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

#  FAIR data

##  Making data findable, including provisions for metadata

The main purpose of the data collection is to assess the impact of Cohesion
policy on citizens’ attitudes to the EU. The findings will be made available
via the project deliverables, website and scientific publications and will be
of use to academics and policymakers with an interest in EU Cohesion policy,
public opinion and communication.

The top level folder for each dataset will be named according to the following
convention syntax:

  * ProjectAcronymDatasetID_ResponsiblePartner_DatasetName 

  

  * e.g. COHESIFY1_POLIMI_Territorial_context 

  

All dataset names have been listed in Table 1, in the Data Summary section.

DOIs will be assigned to datasets for effective and persistent citation. The
DOIs can be used in any relevant publications to direct readers to the
underlying dataset.

The COHESIFY project aims to collect and document the data in a standardised
way to ensure that, at the end of the project, the datasets can be understood,
interpreted and shared in isolation alongside accompanying metadata and
documentation. The specific metadata contents, formats and internal
relationships will be defined in future versions of the COHESIFY DMP. The
minimum metadata elements will be consistent with the ‘Datacite’ metadata
schema. Specific considerations for each dataset are described in Table 3.

Table 3: Data standards and metadata  
  
<table>  
<tr>  
<th>

Dataset

</th>  
<th>

Standards and metadata

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

1.Territorial context

</td>  
<td>

Territorial datasets will be collected from various websites for analysis in
WP2

The dataset will be finalised in January 2017

The metadata to be created is to be confirmed

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

2.Territorial typology

</td>  
<td>

Territorial datasets will be collected from various websites and integrated
for analysis in WP2 and WP3

The dataset will be finalised in January 2017

The metadata to be created is to be confirmed

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

3\.

Implementation

</td>  
<td>

Territorial datasets will be collected from various websites and integrated
for analysis in WP3

The dataset will be finalised in January 2017

The metadata to be created is to be confirmed

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

4.Party manifestos

</td>  
<td>

A dataset of political programme documents in the case study countries will be
constructed using existing databases and additional data collected by the
consortium. Existing and suitable standards applied in political science will
be used.

The party manifesto data will be collected by November 2016

The metadata to be created is to be confirmed

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

5.Stakeholder survey

</td>  
<td>

An online survey of Cohesion policy stakeholders will be undertaken in the
selected case study countries/regions (WP3 and 4). The data collection tool
will contain traditional survey-type questions, such as Likert items, but also
open-ended questions.

The stakeholder survey will be conducted between January and March 2017

The metadata to be created is to be confirmed.

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

6.Interviews

</td>  
<td>

Semi-structured interviews will be conducted by each partner with Cohesion
policy stakeholders (WP 3 and 4). The interviews can be conducted face-to-face
or by telephone/skype. The data will be held in the form of qualitative and
anonymized interview transcripts typed up according to agreed standards in
word or pdf documents.

The interviews will be conducted between January and October 2017 The metadata
to be held is to be confirmed.

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

7\. Media frames

</td>  
<td>

Data will be selected and extracted from the lexis-nexis database to build a
random stratified sample of newspaper articles (regional, national, European)
for framing analysis.

The selection of newspaper articles will be conducted during the period

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

</td>  
<td>

September- December 2016.

The metadata to be held is to be confirmed.

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

8.Citizens survey

</td>  
<td>

A survey of citizens in the case study countries will be undertaken by a
specialist survey company adhering to international market research standards.
Respondents aged 18-65 will be chosen from standard listassisted random digit
dialling (RDD) and interviewed using a telephone interviewing (CATI)
technique. The overall sample size will be 9000 with equally-sized sub-samples
of 500 in each region covered in the case studies (16-20 regions in total, in
10 Member States)

The survey should be carried out between May and July 2017.

The metadata to be held is to be confirmed.

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

9.Focus groups

</td>  
<td>

Focus groups will be organised by each partner in the case study regions (3-5
groups in 16-20 cases, with 6-8 participants per group). The current
preference for recruitment is random selection based on snowball sampling. The
principle of segmentation will be applied to control/match the composition of
participants and facilitate discussion.

The dataset will comprise qualitative and anonymized transcripts of the focus
groups using agreed formats and standards.

The focus groups will be conducted during May-November 2017 The metadata to be
held is to be confirmed.

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

##  Making data openly accessible

Data will be made accessible and available for re-use and secondary analysis,
after taking account of data confidentiality, anonymity and protection
requirements. Horizon 2020 guidance on DMPS includes an opt-out option for
open data requirements, which can apply to all or part of the data, under the
following circumstances:

  * participation is incompatible with the need for confidentiality in connection with security issues; 

  

  * participation is incompatible with rules on protecting personal data; 

  

  * participation would mean that the project’s main aim might not be achieved; 

  

  * the project will not generate / collect any research data or; 

  

  * there are other legitimate reasons 

  

In the COHESIFY project, an opt-out of the open data provisions will apply to
two datasets:

  * DS4 (Interviews with stakeholders). Open access to interview transcripts is incompatible with the need for confidentiality and protecting anonymity, and would risk the achievement of the project’s aims. Even with the anonymisation of direct identifiers (names), the participants could still be easily identifiable given the small number of individuals and/or types of actors represented in monitoring committees (e.g. managing bodies, ngos, trade unions, local government association). Further, the interview questions address sensitive topics including illegal activities such as mismanagement or fraudulent use of public resources and their organisational role in increasing citizens’ political support and identification with the EU. As a result, open access to this data is likely to reduce participation in the project, the reliability of responses and hinder the achievement of goals unless complete confidentiality is granted. 

  

  * DS7 (Focus groups with citizens). Open access to focus group data is incompatible with the need for confidentiality and protecting anonymity. Key topics under investigation are sensitive, such as citizens’ territorial identities (including ethnicity/race) and political opinions about the EU (including illegal activities such as mismanagement or fraudulent use of public resources). The removal of identifiers from audio recordings is also impractical. 

  

The remaining original survey datasets will be anonymised (DS5 and DS8). A
decision will be taken by the project steering committee as to the appropriate
length of time after project completion for granting access to the research
data. During embargo periods, information about the restricted data will be
published in the data repository, and details of when the data will become
available will be included in the metadata.

The datasets will be shared and preserved via the University of Strathclyde’s
research information management system (‘PURE’). Data will be made openly
available via the ‘KnowledgeBase’ website, the public web portal of research
outputs that are stored in PURE (  _http://pure.strath.ac.uk/portal/)_ .

The collected data will be used for scientific evaluation and findings will be
published through scientific channels. Open access to these publications will
be made available depending on the form and cost of the open access.

All of the data is easily accessible through widely available software

##  Making data interoperable

The Zenodo metadata schema and Strathclyde’s Pure metadata schema both include
the minimum DataCite metadata elements (Title, Publisher, PublicationYear,
Contributor, DOI). Furthermore, dataset records in both repositories will
include keywords and a free text description. The Pure metadata schema also
maps to the minimal DublinCore metadata standard.

##  Increase data re-use (through clarifying licences)

Open data will be shared under a CC-BY licence to foster the widest possible
reuse.

Open data supporting published articles will be made available for reuse no
later than the date of publication of the article. Other data deemed to be of
value will be shared within 3 months of the end of the project unless a
restriction is required.

Data will be made available for a minimum of 10 years. Where possible, the
University of Strathclyde will update file formats to avoid file obsolescence
over time.

#  Allocation of resources

The datasets are small in volume and Strathclyde’s data repository is free at
the point of use so that no costs for archiving and preservation need to be
considered.

STRATH is responsible for general coordination and supervision of the data
management plan. Datasets will be uploaded by STRATH as the project
coordinator. Datasets will be uploaded at the end of the project, within 3
months of the closing of project activities (M27). Each partner is responsible
for preparing their datasets in accordance with the FAIR principles envisaged
in the DMP.

#  Data security

Data will be transferred between partners using Strathcloud  (
_http://www.strath.ac.uk/it/services/strathcloud/)_

Data stored on the University of Strathclyde’s storage is dual sited and
replicated between two data centres which are physically separated by several
hundred metres. Data links between datacentres are provided by dual disparate
fabrics, providing added resilience. Additionally, the central I.T. service
provides tape based backup to a third and fourth site.

Data security is provided by access controls defined at a user level. The
University invested in new and upgraded storage in 2014 and the systems are in
line with existing best practices for robust information systems architecture.

Data will be archived and preserved in the University of Strathclyde’s PURE
information management system. This provides options for making data openly
available, and other data restricted access as required.

Data in Pure will be preserved in line with the University Data Deposit Policy
(UOS 2014). The data will be preserved indefinitely and there are currently no
costs for archiving data in Pure. The PI will have overall responsibility for
implementing the data management plan. The University’s data management
personnel will advise on aspects of data archiving and preservation.

#  Ethical aspects

COHESIFY will comply with established EU regulations and corresponding
national laws on data privacy, confidentiality and consent. COHESIFY has
gained ethical approval from the University of Strathclyde’s ethics committee
and these ethical principles, described in a previous ethics deliverable, will
be followed in implementing the data management plan.

People will be advised that by participating in the research they are
consenting to making data openly available. Where possible and necessary,
participants will be given the opportunity to participate in the research
without their related anonymous data being made openly available.