#  Executive summary

EuDEco is a Coordination and Support Action (CSA) funded under the ICT-15-2014
call: Big data and Open Data Innovation and take-up. Its activities move on a
wide range starting from collecting information via desk and field research
through working with third parties (experts and projects) to analysing use
cases and information received from others. Some activities involve data
collected by project partners for project purposes but there will be other
activities where EuDEco partners will work with data collected by third
parties for other purposes.

The objective of the present document is to draft the preliminary concept of
the EuDEco consortium in terms of data management, to define the approach of
the consortium in terms of the handling, storing, making available, archiving
and protecting the data generated or received.

EuDEco has currently identified eight datasets and defined the preliminary
approach for each of them in terms of handling, archiving, protecting, and
making available. In general EuDEco will follow an as open approach in terms
of publication as possible meaning that all datasets that do not contain
private data will be published as soon as possible. Some derogation might be
implemented in case of academic papers for a pre-defined period.

The present Data Management Plan (DMP) will be reviewed by the consortium on a
regular basis. The final DMP will be included in the exploitation plan which
is another deliverable of EuDEco due in M32.

#  Introduction

This section details the purpose and scope of D7.2 – Data Management Plan of
EuDEco, its structure and relationship to other deliverables.

##  Purpose and scope

The purpose of the Data Management Plan (DMP) is to provide an analysis of the
main elements of the data management policy that will be used by the EuDEco
project with regard to all the datasets that will be collected or processed by
the project. The DMP is not a fixed document but evolves during the lifespan
of the project.

##  Structure of the document

The DMP should address the points below:

  * Chapter 2 provides an overview of EuDEco and provides insight why a DMP is relevant for EuDEco; 

  

  * Chapter 3 provides information on roles and responsibilities within the consortium and in connection with the DMP, and reviews the datasets that EuDEco will work with during the project’s implementation; 

  

  * Chapter 4 provides preliminary information on EuDEco’s approach in connection with accessing, sharing, and protecting the datasets EuDEco will work with; 

  

  * Last but not least, Chapter 5 will go into details of storage, preservation and archiving of data. 

  

##  Relationships to other deliverables

D7.2 is in tight relationship with work packages (WPs) 1 to 6 because the
datasets that are mentioned in Chapter 3 are collected and processed in these
WPs. In addition the DMP influences the activities of all tasks within WP7
(e.g., dissemination plan and activities, content of the communication
materials). The first version of the DMP contains the draft versions of the
EuDEco consortium regarding data management while the final version of the
plan will be integrated into D7.4 – Final exploitation plan (due in M32).

#  Overview of EuDEco and why a DMP is necessary

EuDEco aims to develop a model of the European data economy and to facilitate
the reuse of data in Europe. In order to reach these ambitious objectives
divers activities are foreseen to be implemented which include the development
of a heuristic, a refined and a final model of the data economy. The
finetuning of the model is supported by the User Expert Group (UEG) – which
has been launched by the EuDEco project and involves experts of European
projects focusing on open and big data topics or on the reuse of data –, by
the Advisory Board (AB) – consisting of renowned experts of the subject –, and
finally by use cases – which will verify the models developed. Based on the
use cases and lessons learnt, recommendations will be defined aiming at
minimising the burdens of data reuse in Europe and supporting policy makers in
establishing an environment that is in favour of reusing data. Last but not
least an observatory of the European data economy will be established in the
third year of the project, which is aimed at monitoring the evolution of data
reuse in Europe.

EuDEco is a Coordination and Support Action (CSA) type of project, not a
research project that would generate, collect or process big amounts of data
which would make it obligatory to develop a data management plan but it has
received funding in the frame of the ICT-15-2014 call: Big data and Open Data
Innovation and take-up and agreed to take part in the pilot for open research
data which made it necessary to develop a DMP. In addition, the consortium
also agrees on the necessity of creating such a plan since each WP will
include activities where partners will work with data generated by other
projects and/or organisations (use cases) or EuDEco will collect and publish
data (observatory). The first version of the DMP (present document) has been
elaborated and submitted to the European Commission in M6 and contains
preliminary thoughts of the consortium in terms of data management in EuDEco.

#  Product of research - Dataset information

The research objectives require different data for different stages of the
project. In the first stage we mostly gather qualitative data from publicly
accessible sources such as academic databases, national legislation portals
and online libraries. Table 1 and Table 2 provide detailed information about
the datasets.

D7.2 Data management plan

_Public Report – Version 1.0 – 31 July 2015_  
  
<table>  
<tr>  
<th>

**Name of dataset**

</th>  
<th>

Case study data

</th>  
<th>

Model data

</th>  
<th>

Survey data

</th>  
<th>

Observatory data

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

**Work package**

</td>  
<td>

WP1 – Task 1.5

</td>  
<td>

WP2-WP4

</td>  
<td>

WP4 – Tasks 4.2-4.4

</td>  
<td>

WP5 – Task 5.4

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

**Short description**

</td>  
<td>

Together with the research on framework conditions, a series of case studies
is conducted to lay the foundation for the heuristic model. The case studies
will lead to deep insight into challenges and opportunities in specific
settings.

</td>  
<td>

In order to elaborate the refined and the final model of the data economy
different data will be collected via diverse methods which include interviews,
workshops but also desk research. The data collected (both qualitative and
quantitative) will feed the models and the recommendations too.

</td>  
<td>

It is planned to conduct a survey within the scope of the analysis of
requirements and barriers. The findings will provide a useful basis for the
development of related recommendations. Based on the final design of the
survey, qualitative and/or quantitative data is collected and analysed.

</td>  
<td>

To allow an initial analysis of the state of the art of the European data
economy by means of the observatory, initial data has to be collected taking
the specified determinants and indicators into account.

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

**Collection/ acquisition**

</td>  
<td>

The data is collected from different sources including documents and
stakeholder.

</td>  
<td>

The data is collected via interviews, workshops and desk research.

</td>  
<td>

Practitioners and researchers with will be asked to participate in a survey.

</td>  
<td>

The data is collected from different sources including public statistics.

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

**Relevant standards**

</td>  
<td>

No standards. A common set of questions is used.

</td>  
<td>

No standards.

</td>  
<td>

No standards.

</td>  
<td>

No standards.

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

**Visibility/ publication level**

</td>  
<td>

The results are disclosed in D1.3. The deliverable is public.

</td>  
<td>

The current status of the model is disclosed in D2.1,

D3.1 and D4.1. The deliverables are publicly available. It is ensured that the
data has been anonymised.

</td>  
<td>

The final design of the survey and the results are disclosed in D4.2-D4.4. It
is evaluated whether making raw data available is useful. If so, it is ensured
that the data has been anonymised.

</td>  
<td>

The data used is largely openly available. The exact sources are disclosed in
D5.3. The deliverable is public.

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

**Responsible partner**

</td>  
<td>

FRAUNHOFER

</td>  
<td>

All

</td>  
<td>

</td>  
<td>

FRAUNHOFER

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

Table 1 Dataset information – part 1

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D7.2 Data management plan

_Public Report – Version 1.0 – 31 July 2015_  
  
<table>  
<tr>  
<th>

**Name of dataset**

</th>  
<th>

UEG and Network of Interest

(NoI) members and

participants of project events

</th>  
<th>

Projects and initiatives related to the data economy

</th>  
<th>

Big data conferences

</th>  
<th>

Highly related, high-quality academic articles and studies

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

**Work package**

</td>  
<td>

WP6 – Task 6.3 and WP7 – Task 7.5

</td>  
<td>

WP6 – Task 6.3

</td>  
<td>

WP7 – Task 7.3

</td>  
<td>

WP7

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

**Short description**

</td>  
<td>

Engagement activities of EuDEco include the creation of a UEG and a NoI. To
that end, a small database with key contacts and contact information is
created. Similar data is collected in WP7 in connection with the final
conference as well as the clustering workshops.

</td>  
<td>

EuDEco develops a database of national and international (EU level) projects
and initiatives that deal with the data economy. This project pool is used for
getting aware of activities somehow related to EuDEco.

</td>  
<td>

Pool of events (organised by third parties) collected and stored in a
database. The events are relevant from the point of view of EuDEco.

</td>  
<td>

Similarly to the project pool,

EuDEco continuously searches for and collects relevant academic publications
and studies. These materials contribute to the development of the common
knowledge base and to the development of the project deliverables.

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

**Collection/ acquisition**

</td>  
<td>

The data is collected from direct interaction with stakeholders.

</td>  
<td>

The data is collected via desk research of publicly available information.

</td>  
<td>

The data is collected via desk research.

</td>  
<td>

The data is collected via desk research.

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

**Relevant standards**

</td>  
<td>

No standard. An internal template has been defined.

</td>  
<td>

No standard. An internal template has been defined.

</td>  
<td>

No standards.

</td>  
<td>

No standards.

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

**Visibility/ publication level**

</td>  
<td>

Part of the data is made public (e.g., the list of UEG members) but the
consortium keeps confidential all data that can be deemed as personal (i.e.,
contact details of individual people).

</td>  
<td>

The database contains only publicly available information.

</td>  
<td>

A list of related events/conferences will be made available on the

EuDEco website.

</td>  
<td>

Links to the studies and articles will be published on the project website.

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

**Responsible partner**

</td>  
<td>

SIGMA

</td>  
<td>

SIGMA

</td>  
<td>

IVSZ

</td>  
<td>

IVSZ

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

Table 2 Dataset information – part 2

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#  Access, sharing and protection of data

As a CSA funded by Horizon 2020 (H2020), EuDEco will follow an approach in
terms of information/data sharing that is as open as possible. All reports,
studies and results of the project will be made publicly accessible via the
EuDEco website. However, academic publications may fall under restriction in
terms of publication. The published documents will follow the European
Commission’s (EC) rules, contain the necessary visual identity elements as
well as a disclaimer.

Sensitive data such as personal data of people, who registered for EuDEco
events, will be shared with the EC only (if requested).

All project results, datasets and other results of the project will be owned
by the consortium. Data that has been identified as public will be shared with
project stakeholders, the EC and interested public. Parts of the research may
be shared with peers via relevant academic portals. The EuDEco consortium does
not plan to charge a fee from third parties for accessing and reusing data.
The consortium considers licensing of data currently irrelevant for EuDEco.

In terms of formats, we will mostly use DOC (Microsoft Word) for text-based
documents, XLS (Microsoft Excel) for quantitative data. These files will be
made publicly available in PDF (Portable Document Format). MP3 (MPEG Audio
Layer III) or WAV (Waveform Audio File Format) for audio files, MOV (QuickTime
Movie) or WMV (Windows Media Video) for video files. These file formats have
been chosen because they are accepted standards and in widespread use.

#  Storage, preservation and archiving of data

Data collected or processed as well as draft versions of the project documents
(containing only one partner’s or several partners’ contributions) are
currently stored on the computers and servers of each partner organisation as
well as on the external file server which is operated by FRAUNHOFER. Single
partners are responsible for ensuring the backup of their systems and
FRAUNHOFER to ensure the backup of the content server.

Some databases/documents which are jointly edited by two or more project
partners are usually shared and stored at Google Drive, with settings set to
limit access to the consortium partners. The final version of the publishable
project results will be stored in a separate folder on the content server as
well as published as soon as possible on the website.

In order to simplify the follow-up of versions, the storage of the draft and
final versions of datasets and documents as well as the backup, the
possibility of moving data and co-editing activities to SharePoint have been
discussed at the latest project meeting without any final decision. Using
SharePoint would

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D7.2 Data management plan

_Public Report – Version 1.0 – 31 July 2015_

allow easy follow-up of versions, joint editing and easy storage of files.
SharePoint, as a cloud-based service, does not require any specific back-up
activity from the consortium.

13