1. Evolving Roles in Scholarly Communications Susan Reilly, Twitter:@skreilly APA, Frascati, 7th Nov, 2012

2. From this…

3. to this

4. Our work in ODE To consider the impact that data sharing, re- use and preservation is having on scholarly communication…

5. Step 1: Explore the integration of data & publications 3 stakeholder perspectives: Researchers Publishers Libraries How is data linked to publications? What are the challenges? Where are the opportunities?

6. Publications with data Processed Data and Data Representations Data Collections and Structured Databases Raw Data and Data Sets (1) Data contained and explained within the article (2) Further data explanations in any kind of supplementary files to articles (3) Data referenced from the article and held in data centers and repositories (4) Data publications, describing available datasets (5) Data in drawers and on disks at the institute The Data Publication Pyramid

7. Rebuilding the pyramid: implications for libraries Level of integrationImplication for library Data contained within the article Data published in supplementary files to articles Datasets referenced from the articles Data published independently from written publications (“data publication”) Data in drawers and on disks at the institute Prepare for adequate preservation strategies Presentation and preservation mechanisms Persistent link Citability of dataset Persistent link Perpetual access to dataset Support publication process Curation of datasets Metadata and documentation Engage in data management planning

8. Step 2: define best practice in citability Publishers need to provide guidance for authors and referees on citation of data Citations with persistent identifiers should be listed in the references/bibliography to enable tracking of citation metrics Liaison roles could help to bridge gaps and foster understanding between different communities

9. Step 3: define roles What is the role of libraries in data exchange? In what areas is the demand for support from researchers? What skills do libraries need to develop to support researchers in data exchange? How do we develop these skills ?

11. 11 The Survey Sent to circa 800 librarians, 110 respondents Also sent to AU/US libraries active in this area Seven criteria: 1. Availability 2. Findability 3. Interpretability 4. Reusability 5. Citability 6. Curation 7. Preservation

12. Setting the scene Data sets will become separately citable items, supported by their own citation framework Underlying data will increasingly become an integrated part of enriched articles via special viewers, pointers and interactive pdf’s The best place for underlying data is in official data repositories and archives There are not sufficient trustworthy data archives available for authors to deposit their data

13. Current Practices 6% in 2009 15% in 2009 3% in 2009?! 14% in 2009

14. No preservation strategies!

16. Differences with US/AUS libraries More priority for data manage ment plans More priority for data citation Agree that archiving data is most in demand

18. Citability

19. Strategies

20. Skills

21. What Skills? 88% of expert libraries see subject expertise as important!

22. Developing Skills

23. Epilogue Developing policy Establising repositories Delivering training Prioritising skills Engaging in the broader dialogue

24. Conclusions Libraries mobilising to meet demand Need to work together and in consultation with other stakeholders to develop new skill sets Gap in advocacy for data sharing, the use of subject specific repositories, and best practice in data Researchers will need training and guidance on how to make their data citable and on how to cite data in order to ensure that they can fully benefit from a future where data may become a publication on its own right.

25. Thank you http:// www.alliancepermanentaccess.org/index.php/community/current-projects/ode/outputs /