This document discusses the European Commission's guidelines on data management for Horizon 2020 projects. It provides an overview of the Commission's ambitions for open data and the FAIR data principles. The guidelines require projects to submit a Data Management Plan within the first 6 months, with regular updates. The plan must address how research data will be shared and preserved in a FAIR manner. Projects are expected to deposit underlying data for publications in repositories to enable open sharing and long-term preservation, while allowing exceptions where necessary. The template for the Data Management Plan includes sections on data standards, metadata, resource allocation, security, and ethics.

1. www.eudat.eu
EUDAT receives funding from the European Union's Horizon 2020 programme - DG CONNECT e-Infrastructures. Contract No. 654065
The European Commission’s
Open Data ambition
This work is licensed under the Creative
Commons CC-BY 4.0 licence
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2. Horizon 2020 challenge

3. European Commission’s ambition
EC in the Guidelines: “This template is not intended as a strict technical
implementation of the FAIR principles, it is rather inspired by FAIR as a
general concept (…) without suggesting any specific technology,
standard, or implementation solution”
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http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf
EC Infographic: http://ec.europa.eu/research/images/infographics/policy/open-data-2016-w920.png

4. Data Management in Horizon 2020
Deposit the data underlying your scientific publications, including the metadata,
documentation and tools needed to validate the results, in a research data repository –
for sharing and preserving the data long-term.
Sharing more data is encouraged.
Write, and keep up-to-date, a Data Management Plan.
Regular project deliverable, due by Month 6
Living document
Template with guidelines available
Make data “as open as possible, as closed as necessary”: opting out – fully or in part –
is possible, but needs justification.
Manage and document all data FAIRly, whether they will be open or not.
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5. Guidelines on FAIR DM v.3
Structure of the Guidelines:
1. Background: extension of the pilot
2. DMP general definition
3. Proposal, submission and evaluation
4. RDM plans during the project life cycle
5. Support
6. Annex 1: the DMP template
1. Data summary
2. FAIR data
3. Allocation of resources
4. Data security
5. Ethical aspects
6. Other issues
7. Summary table “Fair DM at a glance”
5
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf

6. Interoperability
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7. Exercise
Section 2.3 of the DMP template concerns interoperability.
Apply both questions in section 2.3 to your own domain (or the
domain that you support).
Describe the relevant standards for data and metadata.
Describe what is needed or possible to allow interdisciplinary
interoperability.
Reflection and discussion with your neighbour: should you
change your way of working? Should others?
You have 45 minutes before wrap-up.

8. After 45 minutes
45
0

9. Our suggestion
Metadata: Data Documentation Initiative (DDI), which is
standard in social sciences
http://rd-alliance.github.io/metadata-directory/standards/
File formats
Movies: .mp4 – MPEG-4 H.264
Texts: .pdf or .txt – PDF/A and Unicode, resp.
Spreadsheets: .csv
Things to do:
Agree on the metadata fields
Agree on folder structure and file-naming convention
Start documenting

10. www.eudat.eu
Authors:
Marjan Grootveld, DANS
Sarah Jones, DCC
This work is licensed under the Creative Commons CC-BY 4.0 licence