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A spectrum of scale Support for data needs in the sciences & social sciences

A spectrum of scale Support for data needs in the sciences & social sciences . Jen Ferguson June 19, 2013. http:// www.sxc.hu /photo/690846. What’s the plan? Highlight several approaches, with examples Sticking points, scalability, & risk Nagging questions & discussion.

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A spectrum of scale Support for data needs in the sciences & social sciences

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  1. A spectrum of scale Support for data needs in the sciences & social sciences Jen Ferguson June 19, 2013 http://www.sxc.hu/photo/690846

  2. What’s the plan? • Highlight several approaches, with examples • Sticking points, scalability, & risk • Nagging questions& discussion

  3. Reference & Instruction • Data: reference & instruction • Information management: consultations &instruction • plans

  4. Data Management Workshops: MIT http://libraries.mit.edu/guides/subjects/data-management/index.html

  5. Frameworks for a Data Management Curriculum: UMass Medical & partners http://library.umassmed.edu/data_management_frameworks.pdf

  6. Data as Collection • Data is a resource, as well as a product • plans

  7. Data as Collection: UIUC • Researchers request data • Data Services Committee vets requests • Data purchased with collections budget • Researchers speak at library brownbag http://www.library.illinois.edu/sc/datagis/purchase/description2012.html

  8. Data as Collection: UIUC • Purchases to date include: • Rat gene sequencing data – Food Science/Nutrition • Satellite imagery – Plant Biology • Village coordinates in India – Geography • Income tax data by zip code – Labor Relations

  9. Liaison Relationships • Connecting expertise / Bridge building • Data management plansplans

  10. Data management plan support • (to name a few!)

  11. Connecting expertise: • Research Ambassadors, VU http://guides.library.vu.edu.au/content.php?pid=239245&sid=1978855

  12. Subject Specialists • Informationists • ‘Covert Ops’pl • a

  13. Informationists • NLM funded supplement to NIH grants • Johns Hopkins – Radiology • UMass Medical – Breast cancer screening • NYU – Auditory research and cancer research • U Rochester – Tobacco intervention • http://escholarship.umassmed.edu/jeslib/vol2/iss1/

  14. ‘Covert Ops’ http://dx.doi.org/10.7191/jeslib.2012.1019

  15. Library Expertise • Scholarly communications • Metadata • Archives & special collections

  16. Metadata Consults: Northeastern Early Caribbean Digital Archive New schema – ASL interpreter videos

  17. Local Infrastructure • Repository building & hosting • Providing resources for data-driven work

  18. Data-friendly institutional repositories Seat-of-pants survey: In place? In process? Someday? Not likely?

  19. A continuum of scalability… R & I Data Collections Liaison Subject Specialist Library Expertise Infrastructure

  20. What do you have to lose? Infrastructure Data Collections Liaison R & I Library Expertise Subject Specialist

  21. Scalability & risk for your institution: • Research & instruction • Data as collection • Liaison relationships (campus partners, DMPs) • Subject specialist • Library expertise (scholcomm, metadata) • Infrastructure (repositories etc.) What do you think?

  22. Some Nagging Questions • Library role • Fine line between toe-stepping & bridge-building • Big hairy projects vs. incessant activity • And, of course: $

  23. None of us can do everything (certainly not well!) • Choose options that play to your strengths Parting thoughts

  24. http://dx.doi.org/10.7191/jeslib.2012.1002 Want more?

  25. Thank you! j.ferguson@neu.edu http://www.sxc.hu/photo/690846

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