data curation: a new frontier in faculty-librarian collaboration
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Data Curation: A New Frontier in Faculty-Librarian Collaboration
Presenter:
John Potter, Librarian
ITT Technical Institute/Grand Rapids, MI
What is Data Curation?
Protocols and tools to… Provide descriptive analysis of digital
collections & objects In order to augment their discovery,
management, use, reuse, and preservation
Usually through standardized metadata, developing middleware
Why data curation?
Faculty researchers are Not sure how or whether to share dataLack time to organize data setsNeed help describing data for
discoveryWould like new way to manage dataNeed help archiving data
• D Scott Brandt, Purdue University
Benefits of data curation
Facilitates data mining (to make data more accessible)
Shared data can be used, reused and validated by others
Helps secure grant funding (through assurance in preservation)
Saves researchers time, allows for greater focus on research
What do Librarians actually do? Follow uniform metadata practices =>
promotes interoperability
recreate & reorganize data from old software => into new file formats
Build ontologies, hierarchical structures, & interactive thesauri
Help acquire or license datasets for researchers, users
Other possible services:
Create and organize documentation related to data (IR)
Offer digital preservation services
Where is this happening:
University of Illinois MS/LIS has a Data Curation Concentration (2007)
Purdue’s Distributed Data Curation Center (D2C2) For ‘small science’ with unorganized,
disparate, heterogeneous, & distributed data Currently working with biologists and
engineers
Implications:
New orientation for libraries, library profession can speak of added value
Faculty more apt to support library appropriations (see themselves as stakeholders)
View librarianship more on par with faculty status, less clerical
Future: Collaboration to clarify roles and
responsibilities of data management players
Create data publication standards– as in workflow, linking schemes, etc
And data curation prototypes (data integration, analysis, visualization)
Expect competition from Google through http://research.google.com