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Transition to Open Science in Europe

Presentation by Susan Reilly at Big Data SIG at #WILC2016, Columbus Ohio. Outlines data aspects of Open Science agenda in Europe.

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Transition to Open Science in Europe

  1. 1. Europe’s Transition to Open Science Susan Reilly Executive Director, LIBER, the Association of European Research Libraries WLIC 2016, Columbus, USA @skreilly
  2. 2. Overview Origins of the Open Science Agenda in Europe H2020 Open Data Pilot Member states transitioning towards Open Science Ifs, ands, or buts?
  3. 3. Open Access 2020 The Digital Single Market: Open Science in Europe European Parliament Copyright Reform Member States European Commission H2020 Open Data Pilot Open Science Cloud Open Science Policy Platform FAIR data
  4. 4. Open Science Definition “The practice of science in a way that others can collaborate and contribute, where research data, lab notes and other research processes are freely available, with terms that allow reuse, redistribution and reproduction of the research, it’s underlying data and methods” https://www.fosteropenscience.eu/foster-taxonomy/open-science-definition
  5. 5. Science in Transition: from Science 2.0 to Open Science  EU consultation on Science 2.0 (July- September 2014)  498 responses and 27 position statements  43% of respondents chose “Open Science” as their preferred term out of 6 terms
  6. 6. Drivers for Open Science
  7. 7. Areas for Policy Intervention  Open Access & Copyright  Citizen Science  Researchers’ Careers  Peer Review & Research Evaluation  New Metrics  Other: Funding, Skills, Infrastructure
  8. 8. EU Horizon 2020 Mandates  Open Access Mandatory (2015)  Open Data Pilot (7 funding areas, 2015)  Open Data pilot extended to all funding areas from 2017
  9. 9. H2020 Open Data Pilot  Opt out at any stage (1/3 opted out so far)  All research data, including metadata, needed to validate the results in a peer-reviewed publication  Other curated or raw data, and its associated metadata, specified in the DMP even if it did not result in a publication;  Documentation, software, hardware or tools required to enable reuse of the data  DMP obilgatory
  10. 10. http://knowledgebase.e-irg.eu/documents/243153/246094/E-infrastructures+-+making+Europe+the+best+place+for+research+and+innovation.pdf
  11. 11. The European Open Science Cloud  A virtual environment to store and process large volumes of information http://libereurope.eu/blog/2015/11/04/an-open-and-community-driven-open-science-cloud
  12. 12. European Member States Commitment  All member states to transition towards Open Science (council conclusion May 2016)  Open access the default by 2020  Research data from publically funded projects a public good  Data management standard scientific practice  DMPs obilgatory  Follow FAIR principles
  13. 13. Libraries enabling Open Science “We believe that the move towards openness will lead to increased transparency, better quality research, a higher level of citizen engagement, and will accelerate the pace of scientific discovery through the facilitation of data-driven innovation.” http://libereurope.eu/wp- content/uploads/2014/09/LIBER_Statement-on- open-science-final.pdf
  14. 14. Mobilising our Libraries: RDM
  15. 15. Regional differences in consultative RDS availability
  16. 16. Regional differences in technical RDS availability
  17. 17. LEARN: Roadmapping RDM  Issues  Policies  Costs  Infrastructure  Skills  Advocacy and engagement  Roadmapping RDM in institutions  Self assessment  Dialogue  RDM Templates http://learn-rdm.eu/
  18. 18. Elsevier TDM Policy • Access through API only • Text only- no images, tables • Research must register details • Click-through licence • Terms can change any time • Reproducibility of results
  20. 20. Ifs, Ands, or Buts  Publications  Research data  Data Infrastructure  Tools & software ?Data management plans should be open ?Copyright flexible enough to adapt to capabilities of digital technology ?Access to data about publically funded research
  21. 21. Open Science is Global Knowledge as a public good Open data by default Access via publically owned infrastructure Access to digital technologies Data literacy Closing the citizen science gap Discoverability (metadata)
  22. 22. Thank You! Any questions? @skreilly www.libereurope.eu