1. Research Data Management Services at the MIT Libraries Amy Stout ASEE June 2011

2. As science changes… So do science libraries

3. Don’t panic! You have the skills you need

4. Try new things… Just call them “pilots”

5. Science changes the tools… And the tools change science.

6. Our ability to produce data has outpaced Our ability to organize and store it.

7. As science changes… So do science libraries.

8. What can librarians do to support the new trends in science?

9. Learn as much as possible about departmental research And the data deluge

10. Translate what libraries do… Into data management services for researchers

11. What are our strengths?

12. We respond with agility to rapidly changing environments

13. We understand the fields we support

14. We know how to organize information

15. We know how to make information accessible

16. We know how to preserve information

17. From Science, May 23, 2011 “A data archivist would be a mix of librarian, IT expert and physicist, with the computing skills to keep porting data to new formats but savvy enough about the physics to be able to crosscheck old results on new computer systems.” -- Rescue of Old Data Offers Lesson for Particle Physicists

18. How much physics do you need to know? The original team of Google translation experts who won accolades for their excellent software that could translate Chinese and Arabic consisted of NOT ONE Chinese or Arabic speaker. – from The Most Human Human

19. What data management services can librarians provide?

20. Inform researchers of data issues that may impact them

21. Provide guidance on how to organize, store and preserve data

22. Offer solutions to data management problems

23. How did the MIT Libraries get started in this area?

24. Study group started in 2006 Broadened our membership in 2008

25. Services we offer our research community

26. http://libraries.mit.edu/ data-management

27. Managing Research Data 101

28. Bioinformatics for Beginners

29. One-on-one consulting Format migration Answering questions Writing data management plans

30. The NSF Data Management Plan requirement

31. Radish http://dspace.mit.edu/handle/1721. 1/62236

32. How to handle non-MIT contributors?

33. Esoteric file formats A preservation conundrum

34. Open-source software

35. Multiple file/zip file issues

36. Inconsistent metadata

37. Esoteric information – not for the layperson!

38. Future directions

39. Creating data profiles of individual researchers And data audits of whole departments

40. Developing a service model for assisting researchers in the lab

41. Outreach to liaison librarians

42. Support more projects for DSpace@MIT

43. Remember… As science changes, so do science libraries Don’t panic! You have the skills you need Try new things… just call them “pilots”