1. Swimming Upstream: Assessing the Librarys Role in Managing the River of Data on Campus Christie Peters | Science & Engineering Librarian Anita R. Dryden | Digital & Web Projects Fellow

2. Three ways to cast your voteTextTwitterPoll4.com Poll Everywhere

3. Forthcoming Article… Assessing the academic librarys role in campus-wide research data management: A first step at the University of Houston Peters, Christie, and Anita Riley Dryden. Assessing the academic librarys role in campus-wide research data management: A first step at the University of Houston. Science & Technology Libraries 30(4): ?-?.

4. Question 1 Has your library formally assessed data management needs on your campus? – Yes, we have completed an assessment – Yes, we are currently conducting an assessment – No, but we would like to conduct an assessment – No, we have no plans to assess

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6. Lack of Administrative Support A Four-Letter Word??? DATA: A Four-Letter Word??? Lack of Infrastructure Lack of Qualified Personnel Campus Relationships Faculty Relationships

7. Question 2 What is the biggest barrier for your library in providing data management support for your campus? – Lack of administrative support – Lack of qualified personnel – Lack of infrastructure – Faculty Relationships – Relationships with other campus units

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9. DATA fear Overcoming DATA fear (DMP) requirements 1.Impending NSF Data Management Plan (DMP) requirements – Jan. 18, 2011 Tier One Project proposals 2.Call for Tier One Project proposals within Liaison Services – Summer, 2010 – UH Plan for National Recognition How we did it at UH Libraries

10. Question 3 Is there a unit on your campus other than the library that is handling data management needs? – Yes, and it is collaborating with the library – Yes, but there is no collaboration with the library – No, the library is handling all data management support on campus – No, there is no effort on campus to address data management needs at this time

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12. Division of Research Working with the Division of Research DOR was overworked and understaffed! DOR was concerned about being prepared to provide DMP expertise for researchers DOR was eager to work with the library!!!

13. How did the DOR help? The DOR provided the project team with a list of all NSF and NIH grant-funded projects for fiscal year 2010. What were we looking for? Large grants Both individual & group projects A wide cross-section of disciplines

14. Campus-wide Data Management Assessment A Pilot Study Who did we interview? – Targeted: PIs of 9 NSF & 5 NIH funded projects – Completed Interviews: PIs of 7 NSF & 3 NIH projects – Additional Interviews: 1 Co-PI, 1 Post-Doc, 1 RA

15. Data Assessment Interview Table

16. Question 4 What type of data support services does your library offer now? a)Data storage & preservation b)Assistance selecting data for preservation c)Assistance meeting funding agency requirements d)Information about data management best practices e)Assistance finding data management resources f)Tools for sharing research data

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18. UH – A Decentralized Campus An opportunity? There is general confusion about what data support services are available on campus There is general confusion about what data support services are available on campus The library is taking a leading role in assessing data management needs on campus The library is taking a leading role in assessing data management needs on campus

19. Question 5 Are you familiar with any of the following toolkits? – Purdue Data Curation Profile http://www4.lib.purdue.edu/dcp – DCC/JISC Data Asset Framework http://www.data-audit.eu/ – Digital Repository Audit Method Based on Risk Assessment (DRAMBORA) http://www.repositoryaudit.eu/ – Assessing Institutional Digital Assets (AIDA) http://aida.jiscinvolve.org/wp/about-2/

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21. Data Assessment Instrument GA Tech Instrument adapted from GA Tech – GA Tech instrument was adapted from JISC/DDC Data Asset Framework, version 1.8 – Minor tweaks for UH environment – 30 total questions

22. Interview Procedures Face-to-face interviews – Met with subject in location of their choosing – Provided paper copy of the instrument – Guides subject through questions & recorded responses Subject encouraged to respond on their paper copy – Advised subjects to be candid in their responses – Avoided offering specific services or solutions – Compiled responses & team member notes

23. Question 6 What information do you feel is essential to understanding data needs? – General project information – Project and data lifecycles – Type and volume of data generated – Who manages the data – How data is organized – Whether/how data is shared

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25. UH Instrument - Overview Project Information Data Lifecycle/Workflow Data Characteristics Data Management Data Organization Data Use

26. Project Information Project Project – Title – Description – Status Team members Team members – Institutional affiliation – Departmental affiliation – Role

27. Data Lifecycle / Workflow Describe any pre-collection data planning Describe any pre-collection data planning Describe major project milestones / stages Describe major project milestones / stages

28. Data Characteristics What file formats does the project generate? What file formats does the project generate? What is the expected approximate size of project data? What is the expected approximate size of project data? Describe the associations between particular formats and milestones / stages of project Describe the associations between particular formats and milestones / stages of project

29. Data Management Who is responsible? Who is responsible? Where is the data stored? Where is the data stored? What are your backup practices? What are your backup practices? What is your storage duration? What is your storage duration? Do you have a formal DMP in place? Do you have a formal DMP in place?

30. Data Organization How is the project data organized? How is the project data organized? Do you use any specific metadata conventions? Do you use any specific metadata conventions? Do you consider your methods of data organization sufficient for others in your field? Do you consider your methods of data organization sufficient for others in your field?

31. Data Use Who has access to project data? Who has access to project data? Who could potentially have access to this data? Who could potentially have access to this data? How is project data shared? How is project data shared? If data is not shared, why? If data is not shared, why?

32. Question 7 What type of data support services do you envision your library offering in the future? a)Data storage & preservation b)Assistance selecting data for preservation c)Assistance meeting funding agency requirements d)Information about data management best practices e)Assistance finding data management resources f)Tools for sharing research data

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34. Support for Data Management

35. Questions

36. Preliminary Findings not UH Campus Researchers are not currently looking for server space or data storage What they do need… – Assistance with funding agency DMP requirements – Grant proposal process – Finding data-related services on campus – Publication Support – Targeted research assistance attendant to data management

37. Project Expansion Establish a data working group within the library Establish a data working group within the library Host a luncheon for campus facilities providing data services Host a luncheon for campus facilities providing data services Expand assessment Expand assessment Science & Engineering Science & Engineering Regardless of funding agency Regardless of funding agency Social Sciences & Humanities Social Sciences & Humanities Involvement of SS & H Librarians Involvement of SS & H Librarians Data management information literacy Data management information literacy