ARL Releases “Data Curation” SPEC Kit 354
From the Association of Research Libraries:
The Association of Research Libraries (ARL) has released Data Curation, SPEC Kit 354, an exploration of the infrastructure that ARL member institutions are using for the active and ongoing management of data through its life cycle of interest and usefulness to scholarly and educational activities.
This SPEC Kit covers which data curation services are offered, who may use them, which disciplines use services most, library staffing levels, policies and workflows, and the challenges of supporting these activities.
SPEC Kit 354 Includes the Following Sections:
- Survey Results
- Representative Documents
- Data Repositories
- Data Curation Services
- Data Curation Infrastructure
- Data Curation Workflows
- Digital Research Materials Repository Curation Workflow
- Data Models and Metadata Schemas
- Data Deaccessioning Policies
- Selected Resources
Washington University in St. Louis Libraries
University of Illinois at Urbana-Champaign
Lisa R. Johnston
University of Minnesota Twin Cities Libraries
University of Michigan Library
Pennsylvania State University
University of Minnesota
Direct to Full Text: Data Curation SPEC Kit 354
143 pages; PDF.
SPEC Kit 354 can also be read online and/or downloaded by chapter.
Other SPEC Kits from 2006 to the present are available to read online/download (free). Print editions of this and other SPEC Kits are also available for sale.
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.