Research Data Management in Horizon 2020 Dr. Fieke Schoots, UBL 11 / 6 / 2015
From : Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020 [v.1.0, 11/12/2013]
Open access research data H2020 Open access to research data refers to the right to access and re-use digital research data under the terms and conditions set out in the Grant Agreement. Openly accessible research data can typically be accessed, mined, exploited, reproduced and disseminated free of charge for the user. Guidelines on Open Access to Scientific Publications and Research Data in Horizon 2020
Open Research Data Pilot All project proposals submitted to 'Research and Innovation actions' as well as 'Innovation actions' should include a section on research data management. All others : it is recommended to include a general outline of your data management policy in the proposal. Mention University s policy on data management (effective since 17 / 3 /2015)!!
Open Research Data Pilot Opt out option for confidentiality or security obligations or protection of personal data Opt in : participate on a voluntary basis Costs relating to the implementation of the pilot will be reimbursed. Specific technical and professional support services will also be provided.????
Multi-beneficiary General G.A. 29.3 Open access to research data (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).
What is a data management plan? A data management plan is a document outlining how research data will be handled during a research project, and after it is completed, describing what data will be collected / generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. Factsheet Open Access in Horizon 2020 University has its own DMP template!
Data Management Plan in H2020 Proposal Initial DMP Midterm DMP Final review DMP General outline Full DMP Updated DMP Data management policy Description of datasets Open Access (availability) Types of data Standards Availability Preservation Guidelines on Data Management in Horizon 2020 Idem for identified datasets Annex 1 Annex 2 Scientific research data should be easily 1. Discoverable 2. Accessible 3. Assessable and intelligible 4. Useable beyond the original purpose for which it was collected 5. Interoperable
Proposal : outline Short, general outline of the policy for data management in section 2.2 - Measures to maximise impact. 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 reuse? If data cannot be made available, explain why. How will this data be curated and preserved? Mention full DMP as a deliverable Initial Term (< month 6)
Initial Term DMP < Month 6 Same questions as in the proposal outline but with details for each dataset See template in Annex 1 of Guidelines on Data Management in Horizon 2020
Midterm / final DMP Specify how you plan to make your research data (and associated software) easily : 1. Discoverable 2. Accessible 3. Assassable and intelligible 4. Useable beyond the original purpose 5. Interoperable (allowing data exchange)
Ethics issues : personal data Box 4 : Does your research involve personal data collection and/or processing? Yes? Provide : Details of the data safety procedures (compliance with privacy by design and protection of privacy/confidentiality). Details of procedures for data collection, storage, protection, retention, transfer if any, destruction or re-use. Explicit confirmation of compliance with national and EU legislation
FP7 Collaborative Project AThEME AThEME Description of Work (DoW): the consortium partners will obtain from the data controller of their institution written confirmations for the technical data protection procedures (data collection, storage, protection, retention and destruction) and confirmation that these comply with national and EU legislation framework and privacy/confidentiality measures
Interpretation in the case of AThEME: 1. Cover letter = written confirmation (signed by each partner individually) 2. Annex A = technical information security policy VRE (UB Leiden to be used by all partners in AThEME consortium) 3. Annex B = individual summary of data procedures on collection, storage, protection, retention and destruction
The EC was pleased with the 17 individual written confirmations but we felt that this didn t tell the whole story, which is why we also asked our partners to describe their data procedures on the project level (i.e. compile a DMP for AThEME as a whole): AThEME DMP
Leiden Research Data Office datamanagement@libraries.leidenuniv.nl Leiden Research Data Blog Data paragraph / outline Data management plans [university template] Confirmation of compliance to technical data protection procedures University Policy Find an archive etc. Local contact, national expertise
Useful links - Guidelines data management http://ec.europa.eu/research/participants/data/ref/h2020/grants_manua l/hi/oa_pilot/h2020-hi-oa-data-mgt_en.pdf - Policy on open access: http://ec.europa.eu/research/participants/data/ref/h2020/grants_manua l/hi/oa_pilot/h2020-hi-oa-pilot-guide_en.pdf - Factsheet Open Access in Horizon 2020 : https://ec.europa.eu/programmes/horizon2020/sites/horizon2020/files/ FactSheet_Open_Access.pdf - Ethics issues table : checklist http://ec.europa.eu/research/participants/portal/doc/call/h2020/h2020- msca-rise-2014/1597696-ethics_issues_table checklist_en.pdf - Leiden Research Data Blog : http://blogs.library.leiden.edu/researchdata/