Assessing data management needs Kathleen Fear kmfear kathleen

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Assessing data management needs Kathleen Fear @kmfear; kathleen. fear@rochester. edu University of Rochester

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

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”

“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

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

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

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

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

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

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

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

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

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.

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!