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Horizon 2020 open access and open data mandates

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NCP Academy webinar, 23 June 2017

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Horizon 2020 open access and open data mandates

  1. 1. Facilitate Open Science Training for European Research What are the Horizon 2020 Open Access/ Open Data Mandates? What should applicants comply with? Martin Donnelly Digital Curation Centre University of Edinburgh NCP Academy Webinar 23 June 2017
  2. 2. The Digital Curation Centre DCC) • UK national centre of expertise in digital preservation and data management, est. 2004 • Principal audience has been the UK higher education sector, but we increasingly work further afield (continental Europe, North America, South Africa, Asia…) • Provide guidance, training, tools (e.g. DMPonline) and other services on all aspects of research data management and Open Science • Organise national and international events and webinars (International Digital Curation Conference, Research Data Management Forum) • Offer tailored consultancy/training
  3. 3. Background (me) • Academic background in cultural heritage computing… • Which led me to work in digital preservation… • Which led to my current involvement in research data management and the broader topic of Open Science • I’ve been involved to various degrees in the development of early DMP resources (DCC Checklist, DMPonline, DMPTool, book chapter on DMP…) • Member of the original FOSTER consortium • Also involved in consultancy, advocacy, events, training etc, e.g. as external expert reviewer of Horizon 2020 DMPs
  4. 4. Overview 1. Timeline / context 2. Open Access to publications 3. Open Data pilot 4. Reviewing Data Management Plans 5. Links and resources 6. About the FOSTER project 7. Contact details
  5. 5. Timeline / context • FP7 (2007-2013) • Open Access pilot (launched 08/08) covered c. 20% of budget, including Information and Communication Technologies; Research Infrastructures (e-Infrastructures); and Science in Society • Research data not mandated, but supported via Research Infrastructure projects • Horizon 2020 / FP8 (2014-2020) • Open Access mandate for all published research papers • Initially a limited Open Data Pilot, subsequently expanded to cover all H2020 thematic areas • FAIR approach adopted (07/16) • Research Infrastructure projects continue
  6. 6. Benefits recap (as EC sees it) • Broader access to scientific publications and data helps to: • build on previous research results (improved quality of results) • encourage collaboration and avoid duplication of effort (greater efficiency) • speed up innovation (faster progress to market means faster growth) • involve citizens and society (improved transparency of the scientific process)
  7. 7. Flowchart http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross- cutting-issues/open-access-data-management/open-access_en.htm
  8. 8. Overview 1. Timeline / context 2. Open Access to publications 3. Open Data pilot 4. Reviewing Data Management Plans 5. Links and resources 6. About the FOSTER project 7. Contact details
  9. 9. Open Access to publications • Open Access to scientific publications means free online access for any user • For the EC, ‘access’ includes not only the right to read, download and print – but also the right to copy, distribute, search, link, crawl and mine • Mandate: • At minimum, must ensure that any scientific, published, peer- reviewed journal papers can be read online, downloaded and printed. (Beneficiaries are also encouraged to apply this to other forms of publication, like books, monographs and conference proceedings.) • So far as possible, increase the usefulness of publications by granting rights to copy, distribute, search, link, crawl and mine
  10. 10. Two-step policy • Step 1. Deposit in a disciplinary or institutional/ national repository • As soon as possible, and at latest upon publication • This must be done regardless of green/gold choice at Step 2 • 6-12 month embargo permitted, depending on discipline • Step 2. Grant Open Access • Either via green or green-and-gold route • Researcher chooses where to publish • APCs are eligible for reimbursement during the duration of the project • There are also specific conditions re. the format of bibliographic metadata, which must be open to aid discoverability
  11. 11. Overview 1. Timeline / context 2. Open Access to publications 3. Open Data pilot 4. Reviewing Data Management Plans 5. Links and resources 6. About the FOSTER project 7. Contact details
  12. 12. Open Data Definitions I • Open access to research data is “the right to access and reuse digital research data under the terms and conditions set out in the Grant Agreement” • Research data is “information, in particular facts or numbers, collected to be examined and considered as a basis for reasoning, discussion, or calculation” • In a research context, examples of data include statistics, results of experiments, measurements, observations resulting from fieldwork, survey results, interview recordings and images. The focus is on research data that is available in digital form • Users can normally access, mine, exploit, reproduce and disseminate openly accessible research data free of charge
  13. 13. Open Data Definitions II • Types of data covered by the Open Research Data Pilot: • 'underlying data' (the data needed to validate the results presented in scientific publications), including the associated metadata (i.e. metadata describing the research data deposited), as soon as possible • any other data (for instance curated data not directly attributable to a publication, or raw data), including the associated metadata, as specified and within the deadlines laid down in the DMP – that is, according to the individual judgement by each project/beneficiary
  14. 14. Open Data Definitions III • The EC has adopted the FORCE11 ‘FAIR’ approach to research data management. • This states that “One of the grand challenges of data- intensive science is to facilitate knowledge discovery by assisting humans and machines in their discovery of, access to, integration and analysis of, task-appropriate scientific data and their associated algorithms and workflows.” • To help achieve this, (meta)data should be… • Findable • Accessible • Interoperable • Reusable
  15. 15. The FAIR Data Principles (1/4) To be Findable: F1. (meta)data are assigned a globally unique and eternally persistent identifier. F2. data are described with rich metadata. F3. (meta)data are registered or indexed in a searchable resource. F4. metadata specify the data identifier.
  16. 16. The FAIR Data Principles (2/4) To be Accessible: A1. (meta)data are retrievable by their identifier using a standardized communications protocol. A1.1. the protocol is open, free, and universally implementable. A1.2. the protocol allows for an authentication and authorization procedure, where necessary. A2. metadata are accessible, even when the data are no longer available.
  17. 17. The FAIR Data Principles (3/4) To be Interoperable: I1. (meta)data use a formal, accessible, shared, and broadly applicable language for knowledge representation. I2. (meta)data use vocabularies that follow FAIR principles. I3. (meta)data include qualified references to other (meta)data.
  18. 18. The FAIR Data Principles (4/4) To be Re-usable: R1. meta(data) have a plurality of accurate and relevant attributes. R1.1. (meta)data are released with a clear and accessible data usage license. R1.2. (meta)data are associated with their provenance. R1.3. (meta)data meet domain-relevant community standards.
  19. 19. Data Management Plan • The DMP should include information on: • the handling of research data during and after the end of the project • what data will be collected, processed and/or generated • which methodology and standards will be applied • whether data will be shared/made open access, and • how data will be curated and preserved (including after the end of the project) • DMPs are submitted as deliverables – first iteration is due at M6 • Template and guidance is given in the Guidelines doc
  20. 20. Complying with H2020 Open Data Policy (I) • Deposit research data, preferably in a research data repository. • These are online research data archives, which may be subject-based/thematic, institutional or centralised. Useful listings of repositories include the Registry of Research Data Repositories and Databib. The Open Access Infrastructure for Research in Europe (OpenAIRE) provides additional information and support on linking publications to underlying research data. • Some repositories like Zenodo (an OpenAIRE and CERN collaboration), allow researchers to deposit both publications and data, while providing tools to link them. Zenodo and some other repositories as well as many academic publishers also facilitate linking publications and underlying data through persistent identifiers and data citations.
  21. 21. Complying with H2020 Open Data Policy (II) • Take measures to enable third parties to access, mine, exploit, reproduce and disseminate (free of charge for any user) this research data, so far as possible. • One straightforward and effective way of doing this is to attach Creative Commons Licences (CC BY or CC0) to the data deposited. The EUDAT B2SHARE tool includes a built-in license wizard that facilitates the selection of adequate license for research data. • At the same time, projects should provide information via the chosen repository about the tools available to the beneficiaries that are needed to validate the results, e.g. specialised software or software code, algorithms and analysis protocols. Where possible, they should provide these instruments themselves.
  22. 22. Overview 1. Timeline / context 2. Open Access to publications 3. Open Data pilot 4. Reviewing Data Management Plans 5. Links and resources 6. About the FOSTER project 7. Contact details
  23. 23. Reviewing DMPs • I’ve been involved in two sets of EC reviews: June/July 2016, and February/March 2017 • These have been first iterations of H2020 DMPs, at the six month stage • At this stage we are mainly looking for assurances that the project team has thought things through, and is considering data management from early in the project lifecycle • Reviewers can also flag up potential issues and make suggestions/recommendations via the Project Officers • Specific details often come later, when the data generation actually takes place. The expectation is that the DMP will be updated whenever something important happens, such as a new dataset being created
  24. 24. Overview 1. Timeline / context 2. Open Access to publications 3. Open Data pilot 4. Reviewing Data Management Plans 5. Links and resources 6. About the FOSTER project 7. Contact details
  25. 25. Links and resources • Open Access section of the H2020 Online Manual - http://ec.europa.eu/research/participants/docs/h2020-funding-guide/cross-cutting- issues/open-access-data-management/open-access_en.htm • Guidelines to the Rules on Open Access to Scientific Publications and Open Access to Research Data in Horizon 2020 (v3.2, March 2017) - http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h 2020-hi-oa-pilot-guide_en.pdf • H2020 Programme Guidelines on FAIR Data Management in Horizon 2020 (v3.0, July 2016) - http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/hi/oa_pilot/h 2020-hi-oa-data-mgt_en.pdf • Article 29.2 of the Model Grant Agreement (OA) - http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/amga/h2020- amga_en.pdf#page=221 • Article 29.3 of the Model Grant Agreement (data) - http://ec.europa.eu/research/participants/data/ref/h2020/grants_manual/amga/h2020- amga_en.pdf#page=222 • FORCE11 FAIR data principles - https://www.force11.org/group/fairgroup/fairprinciples
  26. 26. Overview 1. Timeline / context 2. Open Access to publications 3. Open Data pilot 4. Reviewing Data Management Plans 5. Links and resources 6. About the FOSTER project 7. Contact details
  27. 27. • Phase 1 (2014-2016): Spread the Seeds of Open Science and Open Access • Creation of Open Science Taxonomy • 2000+ training materials, categorized in the FOSTER Portal • More than 100 f2f training events in 28 countries and 25 online courses, totalling more than 6300 participants FacilitateOpenScienceTrainingforEuropeanResearch The project http://fosteropenscience.eu
  28. 28. • Phase 2 (2017-2019): Let the Flowers of Open Science Bloom • Focus on: • Training for the practical implementation of Open Science (face to face and online) including RDM and Open Data • Developing intermediate/advanced level/discipline-specific training resources in collaboration with three disciplinary communities (and related RIs): Life Sciences (ELIXIR), Social Sciences (CESSDA) and Humanities (DARIAH) • Update the FOSTER Portal to support moderated learning, badges and gamification • In concrete terms: • 150 new training resources • Over 50 training events (outcome-oriented, providing participants with tangible skills) and 20 e-learning courses • Multi-module Open Science Toolkit • Trainers Network, Open Science Bootcamp, Open Science Training Handbook, and more… FacilitateOpenScienceTrainingforEuropeanResearch The project http://fosteropenscience.eu
  29. 29. Overview 1. Timeline / context 2. Open Access to publications 3. Open Data pilot 4. Reviewing Data Management Plans 5. Links and resources 6. About the FOSTER project 7. Contact details
  30. 30. Contact details • For more information about the FOSTER project: • Website: www.fosteropenscience.eu • Principal investigator: Eloy Rodrigues (eloy@sdum.uminho.pt) • General enquiries: Gwen Franck (gwen.franck@eifl.net) • Twitter: @fosterscience • My contact details: • Email: martin.donnelly@ed.ac.uk • Twitter: @mkdDCC • Slideshare: http://www.slideshare.net/martindo nnelly This work is licensed under the Creative Commons Attribution 2.5 UK: Scotland License.

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