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Guidelines on research data management: the Open Research Data pilot in Horizon 2020: "One-Flow" kick-off meeting, 18-01-2017
1. Guidelines on research data management
The Open Research Data (ORD) Pilot in Horizon 2020
โOne-Flowโ kick-off meeting
TU/e, 18-01-2017
l.osinski@tue.nl, TU/e IEC/Library
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adapting the material for any purpose, provided the original
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2. Scope of the ORD Pilot
1. All the thematic areas of Horizon 2020 (as of 2017)
2. Participation is the default option: with opt-out possibilities
at any stage, including after the signature of the agreement
3. Applies primarily to the data needed to validate the results
presented in scientific publications. Other data can also be
provided
4. Costs related to open access to research data, including the
creation of a data management plan, are eligible for
reimbursement
3. Aim of the ORD Pilot
The ORD pilot is aimed at encouraging:
1. Open access to and reuse of digital research data generated
by Horizon 2020 projects, and;
2. Sound data management
โParticipating in the ORD pilot does not necessarily mean opening up all your
research data. Rather, the ORD Pilot follows the principle โas open as possible,
as closed as necessaryโ and focuses on encouraging sound data management
as an essential part of research best practice.โ
4. Source: Research Data Netherlands /
Marina Noordegraaf
Research data management
Sound research data management is data management following
the FAIR principles. All research data should be:
Findable: easy to find by both humans and computer systems;
Accessible: stored for long term with well-defined license and access
conditions (open access when possible);
Interoperable: ready to be combined with other datasets by humans as well as
computer systems;
Reusable: ready to be used for future research and to be processed further
using computational methods.
5. Source: Research Data Netherlands /
Marina Noordegraaf
Requirements
The conditions set by Horizon 2020 with regard to research data
management, come down to two requirements:
1. Formulate a data management plan, and;
2. Deposit research data in a data repository
6. โOnce a project has had its funding approved and has started, you must submit a first
version of your DMP (as a deliverable) within the first six months of the project.โ
Single DMP for the project
The DMP is a set of questions about:
1. The handling of research data during and after the project
2. What data sets the project will collect, process and/or generate
3. Whether and how the data sets will be shared/made open access
4. How data will be curated and preserved
5. What measures are taken to safeguard and protect sensitive data
Requirements
data management plan
๏ง DMP template Horizon 2020 (via DMPOnline): recommended but voluntary
๏ง DMP template by 4TU.Centre of Research Data
๏ง Examples of H2020 DMPs: http://www.dcc.ac.uk/resources/data-
management-plans/guidance-examples
7. Source: Research Data Netherlands /
Marina Noordegraaf
โThey must deposit the data preferably in a research data repository and then,
as far as possible, take measures to access, mine, exploit, reproduce and
disseminate the dataโฆโ
What
Research data, including associated metadata, needed to validate the results
presented in scientific publications
Where
4TU.Centre of Research Data, etc.
Requirements
depositing data
8. You must submit a first version of your DMP (as a deliverable)
within the first 6 months of the project.
You must deposit the data underlying your publications in a data
repository
We can help you with that. Please, contact us.
Summary and support
TU/e data librarians (rdmsupport@tue.nl)
๏ง Sjef รllers (m.j.m.ollers@tue.nl)
๏ง Leon Osinski (l.osinski@tue.nl)
๏ง Website Data Coach
9. 1. Horizon 2020 participant portal online manual: open access and data management:
http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting-
issues/open-access-dissemination_en.htm
2. Horizon 2020 Guidelines on FAIR data management (version 3.0, 26-07-2016):
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020
-hi-oa-data-mgt_en.pdf
3. Horizon 2020 Guidelines on open access to scientific publications and research data (version
3.1, 25-08-2016):
http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h2020
-hi-oa-pilot-guide_en.pdf
4. Data management plan template Horizon 2020: https://dmponline.dcc.ac.uk/
5. Data management plan template 4TU.Centre of Research Data:
http://researchdata.4tu.nl/en/planning-research/data-management-plan/
6. Examples of H2020 DMPs: http://www.dcc.ac.uk/resources/data-management-
plans/guidance-examples
7. 4TU.Centre of Research Data: http://data.4tu.nl
8. Registry of research data repositories: http://www.re3data.org/
9. TU/e Data Coach: http://www.tue.nl/datacoach
URLโs of mentioned and important webpages
Editor's Notes
Introducing myself and IEC/Library
Itโs is still a pilot. It is not policy already
You donโt need to provide all the research data generated by the project
Itโs not possible to keep everything. What to preserve & share? Select based on:
What has to be kept e.g. data underlying publications;
What canโt be recreated e.g. environmental recordings (unique data);
What is potentially useful to others;
What has scientific, cultural or historical value;
What legally must be destroyed.
See also: http://www.dcc.ac.uk/resources/how-guides/appraise-select-research-data
Other data: as specified in the DMP
Model grant agreement (p. 66): http://ec.europa.eu/research/participants/data/ref/h2020/mga/gga/h2020-mga-gga-mono_en.pdf
โ[OPTION 1 for actions participating in the open Research Data Pilot: Regarding the digital research data generated in the action (โdataโ), the beneficiary must:
deposit in a research data repository and take measures to make it possible for third parties to access, mine, exploit, reproduce and disseminate โ free of charge for any user โ the following:
the data, including associated metadata, needed to validate the results presented in scientific publications as soon as possible;
other data, including associated metadata, as specified and within the deadlines laid down in the โdata management planโ (see Annex 1);
provide information โ via the repository โ about tools and instruments at the disposal of the beneficiary and necessary for validating the results (and โ where possible โ provide the tools and instruments themselves).
So, aim of the pilot is not open access to research data โ there are various opt-out possibilities at any stage, including after the signature of the grant agreement โ but โencouraging sound data managementโ
Reasons for opting-out have to be given e.g. for intellectual property rights (IPR) concerns, privacy/data protection concerns, national security concern, if it would run against the main objective of the project or for other legitimate reasons.
At the proposal submission stage, the information provided is not part of the evaluation.
3054 proposals: opt out core areas = 24% ; opt in in other areas = 27%
Guidelines on open access to scientific publications and research data in Horizon 2020 (version 1.0, 11 December 2013)
Guidelines on data management in Horizon 2020 (version 1.0, 11 december 2013): open research data pilot
Open research data pilot / Data management plan [ DMP ]
What types of data will the project generate/collect?
What standards will be used?
How will this data be exploited and/or shared/made accessible for verification and re-use? If data cannot be made available explain why
How will this data be curated and preserved?
FAIR data is what Horizon 2020 wants!
FAIR data implies sound research data management. Research data management prepares for FAIR
Why is sound research data management important? Because it is a key conduit to FAIR data.
FAIR data leads to knowledge discovery and innovation
quality control or quality assurance of your data: a. protecting against data loss ; b. protecting data authenticity (ensuring that data has not changed after its creation)
This course is especially about 1: making data available to others ๏ data sharing requires research data management!
RDM is especially about data sharing, not only after your research but also during your research. Your promotor wants to take quick look at your data, your colleague needs some of your data, etc.
Single DMP for your project to cover its overall approach. However, where there are specific issues for individual datasets (e.g. regarding openness), you shoulds clearly spell this out
โA data management plan (DMP) is required for all projects participating in the extended ORD pilotโฆโ
Participating projects will be required to develop a Data Management Plan (DMP), in which they will specify what data will be open: detailing what data the project will generate, whether and how it will be exploited or made accessible for verification and re-use, and how it will be curated and preserved.
The DMP needs to be updated over the course of the project whenever significant changes arise, such as (but not limited to):
New data
Changes in consortium policies (new innovation potential, decision to file for a patent)
Changes in consortium composition and external factors (new mebers joining or old members leaving)
The DMP should be updated as a minimum in time with the periodic evaluation/assessment of the project
Data needed to validate the results: so, including raw data
Be prepared to make your data FAIR because itโs required and you and science benefit from it
Preparation = sound research data management
Henry Rzepa and Charles Romain, The importance of data management for research: https://youtu.be/Ae205CNrk6w . See also: Henry Rzepa, Collaborative FAIR data sharing: http://www.ch.imperial.ac.uk/rzepa/blog/?p=16292
Evaluation of the pilot (2015 data): https://data.europa.eu/euodp/data/dataset/open-research-data-the-uptake-of-the-pilot-in-the-first-calls-of-horizon-2020