Assessing data management needs Kathleen Fear kmfear kathleen
- Slides: 13
Assessing data management needs Kathleen Fear @kmfear; kathleen. fear@rochester. edu University of Rochester
Finding out what researchers know they need • Surveys • Interviews • Data Curation Profiles (or something shorter…) • Identify gaps • Design services • Make a case to administration for support • Pull together stakeholders
“Places to put things, ways to point to things, and help organizing things”
Don’t start from scratch • Assess your own needs / goals first: • What do you hope to do with the data you gather? • What kind of data will be actionable for your purposes? Survey strengths Interview strengths • Data from a lot of researchers quickly • In-depth understanding of researchers, their data and their context of work • Can produce clear, targeted statistics about data management needs (“ 30% of faculty said they need…”) • Flexible, adaptable • Opportunity to start an ongoing conversation
Matching your method to your goals and needs Our culture is very bottomup Size / Diversity We have a small # of researchers Institutional culture
Would you like to learn about sharing your data? Nope! I already do it and I’m fine! Nope! I don’t have to share my data!
Finding out what researchers don’t know they need • External sources of information about data-related needs • Journals and their data sharing policies • Grant office and records of proposals awarded, submitted and rejected Researcher Compliance With Journal Data Sharing Policies l na SE B Jo ur io ve l In ica lin f. C lo na ur Jo FA st iga t ry ist m he l. C ys Ph of al ur n Jo n . L. . t. . Le ica ar et an Pl d an rth Ea 2 nc e cie y. S th of es tic No ly th on M 1 . . ya Ro e un m m Co re tu Na 0 l. A ns ica Na tio tu re tic s Ge PL OS Re id s Ac Nu cle ic eu f. N lo na Jo ur ne ar se io ys ph ro sic hy op Bi ch gy lo AS PN al PL Jo OS On e ur na l 100% 90% 80% 70% 60% 50% 40% 30% 20% 10% 0%
Keep going! • Services get people in the door; relationships keep them coming back Identify a gap Develop a service to fill the gap • Scoping data service needs: the longest reference interview you’ll ever do Build relationships with users and nonusers Use insight from relationships to identify gaps
Data management planning • A service for researchers; an opportunity to continue to identify needs • Tools for researchers • DMPTool with customization • Low tech / high impact: a handout and a conversation
DMP assistance: tools for me • The Who-Does-What list • People around the University who provide services / guidance related to data • Data Stories • Data. Q
Campus Admin Grants & Contract Library Office of Research Dept. IT Data Services Students Faculty Campus IT HPC
DMP assistance: tools for me • The Who-Does-What list • Data Stories • To help answer “why”: http: //datastories. jiscinvolve. org • Data. Q
DMP assistance: tools for me • The Who-Does-What list • Data Stories • Data. Q • Collaborative platform and community aimed at addressing research data questions in academic libraries • Not live yet, but follow @Research. Data. Q!
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