1. Open Science and Biomedical Research Lisa Federer, MLIS, MA, AHIP Research Data Informationist

2. Overview Big data and open science Library services for data management and data science Looking ahead – what’s in store for data?

3. Big data – what is it?

4. Big data – the 4 V’s Velocity VolumeVeracity Variety

5. Faster & cheaper technology

6. Ubiquitous sensing

7. Increase in born digital data

8. Greater availability of data

9. Sharing mandates Journals with Data Sharing Policies Funders with Data Sharing Policies ….and many, many more

10. Feeling overwhelmed?

11. NIH data needs survey Federer, L.M., Lu, Y-L, Joubert, D.J. Data Literacy Training Needs of Biomedical Researchers. Journal of the Medical Library Association: JMLA. In press.

12. We can help!

13. Research data life cycle http://data.library.virginia.edu/data-management/lifecycle

14. Proposal/planning stage

15. Data management planning http://www.nsf.gov/bfa/dias/policy/dmp.jsp

16. DMPTool http://www.dmptool.org

17. Data collection reuse http://service.re3data.org/

18. New uses for existing data!

19. Finding data for re-use http://service.re3data.org/

20. Data sharing

21. Benefits to data sharing “Publicly available data was significantly (p = 0.006) associated with a 69% increase in citations.” Piwowar HA, Day RS, Fridsma DB (2007) Sharing Detailed Research Data Is Associated with Increased Citation Rate. PLoS ONE 2(3): e308. doi:10.1371/journal.pone.0000308

22. Leveraging library expertise

23. What should we prepare for?

24. Data is only getting bigger

25. Leveraging unstructured data Structured data Unstructured data

26. Librarians can meet this need!

27. Thank you! Lisa Federer, MLIS, MA, AHIP Research Data Informationist lisa.federer@nih.gov @lisafederer NIH Library Data Services resources: http://nihlibrary.campusguides.com/dataservices/ http://nihlibrary.campusguides.com/dataservices/