1. The role of journals in research data sharing EPFL 2014 Damian Pattinson, PhD dpattinson@plos.orgdpattinson@plos.org

2. 2 [Data, data] every where.. Nor any drop to drink - Samuel Taylor Coleridge

3. 3 From: How Does the Availability of Research Data Change With Time Since Publication? Timothy H. Vines and colleagues, Abstract (podium), Peer Review Congress, 2013 Situation worsens over time

4. 4 Data access might feel more like this

5. A new social contract 5

6. 6 C C PLOS: community discussions

7. 7 All data underlying the published results should be fully available without restriction with rare exception and described in the article publication. PLOS Data Access Policy Update No barriers to enter. All welcome.

8. Aims of Update 8 Establish clarity with respect to authors’ obligations Highlight author’s responsibility to determine and describe a data sharing plan, to be published with the article Enhanced enforcement mechanism Ensure transparency, so that compliance withthe policy is externally visible to readers (and to editors and referees during peer review) Ensure policy is workable across scientific fields, and take account of special considerations (in relation to privacy of human subjects, and other issues) Not change WHAT data needs to be shared – rather, focus on WHERE its housed, WHEN its shared, and HOW authors provide access for those who want it

9. Because open access to a written narrative about the research and a snapshot of the data is not the most useful way of providing open access to research. Because full open access to the data underlying articles makes them more useful and re-usable. Because our previous policy asked people to share but didn’t enforce this transparently Because: Open Access 9

10. 10

11. Role of Publishers in Data Access & Sharing Meeting hosted by PLOS & CDL (IDCC 2014) “What can publishers do to promote the work of libraries and institutions in advancing data access and availability?” Output: Eight Recommendations in PLOS Biology paper forthcoming Meeting Feb 26, 2014 Community Comment Mar 24, 2014 RDA Meeting Mar 28, 2014 Formal Publication Forthcoming

12. Community Recommendations 1.Establish and enforce a mandatory data availability policy. 2.Contribute to establishing community standards for data management. Enact and enforce them as journal policies. 3.Contribute to establishing community standards for data preservation. Enact and enforce them as journal policies. 4.Provide formal channels to share data. 12

13. Community Recommendations 5.Work with repositories to streamline data submission. 6.Require appropriate citation to all data associated with a publication - both produced and used. 7.Develop and report indicators that will support data as a first-class scholarly output. 8.Incentivize data sharing by promoting the value of data sharing. 13

14. How long should people store data? When to choose Supplementary Files vs. a repository vs. figures and tables. Licensing and attribution Should software/code be treated any differently from data? How should materials-sharing differ? And the previous known issues: big data; patient confidentiality; what to do when data should be shared non-universally 14 Community engagement continues

15. Community coordination continues 15 ResearchersData CentersFunders PublishersInstitutions Policy- makers Technologists Infrastructure Orgs

16. 16 Opening up the digital toolbox

17. And build crosswalks across all the data touchpoints in the research process 17 Collection How do we get data out of disks & drawers? Collection How do we get data out of disks & drawers? Archiving & Discovery How do we ensure long term access? Archiving & Discovery How do we ensure long term access? Citation & Credit How do we link data to research artefacts? Citation & Credit How do we link data to research artefacts? Presentation How do we make use of it in our delivery channels? Presentation How do we make use of it in our delivery channels? Re-usability How do we optimize for re-use? Re-usability How do we optimize for re-use?

18. So, what is the role of publishers? 18

19. Discussion Have you ever shared data? –What was hard about it? –What repositories have you used? –What was good/bad about using those repositories? Have you ever used someone else's data? –What was hard about it? –What would make it easier? Have you ever looked for data? –Where did you find it? –How hard was it? Do you think neuroscience colleagues are willing to share? –Why or why not? –Are there disciplinary differences? What type of credit should be assigned to data? –How should it be awarded? –Would it actually change your willingness to share data? 19

20. Thank you! Please join us: data@plos.org 20