Research Data Curation Pilots: Lessons Learned

In the spring of 2011, the UC San Diego Research Cyberinfrastructure (RCI) Implementation Team invited researchers and research teams to participate in a research curation and data management pilot program. This invitation took the form of a campus-wide solicitation. More than two dozen applications...

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Bibliographic Details
Published inInternational Journal of Digital Curation Vol. 9; no. 1; pp. 220 - 230
Main Authors Minor, David, Critchlow, Matt, Hutt, Arwen, Fleming, Declan, Bergstrom, Mary Linn, Sutton, Don
Format Journal Article
LanguageEnglish
Published University of Edinburgh 01.07.2014
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Summary:In the spring of 2011, the UC San Diego Research Cyberinfrastructure (RCI) Implementation Team invited researchers and research teams to participate in a research curation and data management pilot program. This invitation took the form of a campus-wide solicitation. More than two dozen applications were received and, after due deliberation, the RCI Oversight Committee selected five curation-intensive projects. These projects were chosen based on a number of criteria, including how they represented campus research, varieties of topics, researcher engagement, and the various services required. The pilot process began in September 2011, and will be completed in early 2014. Extensive lessons learned from the pilots are being compiled and are being used in the on-going design and implementation of the permanent Research Data Curation Program in the UC San Diego Library. In this paper, we present specific implementation details of these various services, as well as lessons learned. The program focused on many aspects of contemporary scholarship, including data creation and storage, description and metadata creation, citation and publication, and long term preservation and access. Based on the lessons learned in our processes, the Research Data Curation Program will provide a suite of services from which campus users can pick and choose, as necessary. The program will provide support for the data management requirements from national funding agencies.
ISSN:1746-8256
1746-8256
DOI:10.2218/ijdc.v9i1.313