a spectrum of scale support for data needs in the sciences & social sciences jen ferguson june...
TRANSCRIPT
A spectrum of scale
Support for data needs in the sciences & social sciences
Jen FergusonJune 19, 2013
http://www.sxc.hu/photo/690846
What’s the plan?
Highlight several approaches, with examples
Sticking points, scalability, & risk
Nagging questions & discussion
Reference & Instruction
Data: reference & instruction
Information management: consultations & instruction
plans
Data Management Workshops: MIT
http://libraries.mit.edu/guides/subjects/data-management/index.html
Frameworks for a Data Management Curriculum: UMass Medical & partners
http://library.umassmed.edu/data_management_frameworks.pdf
Data as Collection
Data is a resource, as well as a product
plans
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
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
Liaison Relationships
Connecting expertise / Bridge building
Data management plansplans
Data management plan support (to name a few!)
Connecting expertise: Research Ambassadors, VU
http://guides.library.vu.edu.au/content.php?pid=239245&sid=1978855
Subject Specialists
Informationists
‘Covert Ops’pl
a
Informationists
NLM funded supplement to NIH grants
Johns Hopkins – RadiologyUMass Medical – Breast cancer screeningNYU – Auditory research and cancer researchU Rochester – Tobacco intervention
http://escholarship.umassmed.edu/jeslib/vol2/iss1/
‘Covert Ops’
http://dx.doi.org/10.7191/jeslib.2012.1019
Library Expertise
Scholarly communications
Metadata
Archives & special collections
Metadata Consults: Northeastern
Early Caribbean Digital Archive
New schema – ASL interpreter videos
Local Infrastructure
Repository building & hosting
Providing resources for data-driven work
Data-friendly institutional repositories
Seat-of-pants survey:
In place?In process?Someday?Not likely?
A continuum of scalability…
Library Expertise
Liaison
Subject Specialist
Data Collections
R & I
Infrastructure
What do you have to lose?
Library Expertise
Liaison
Subject Specialist
Data Collections
R & I
Infrastructure
Scalability & risk for your institution:
Research & instructionData as collectionLiaison relationships (campus partners, DMPs)Subject specialistLibrary expertise (schol comm, metadata)Infrastructure (repositories etc.)
What do you think?
Some Nagging Questions
Library role
Fine line between toe-stepping & bridge-building
Big hairy projects vs. incessant activity
And, of course: $
None of us can do everything (certainly not well!)
Choose options that play to your strengths
Parting thoughts
http://dx.doi.org/10.7191/jeslib.2012.1002
Want more?
