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  4. DataStaR: An Institutional Approach to Research Data Curation

DataStaR: An Institutional Approach to Research Data Curation

File(s)
iqvol313steinhart.pdf (189.42 KB)
Permanent Link(s)
https://hdl.handle.net/1813/12668
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Articles, Preprints, and Presentations by CUL Staff
Author
Steinhart, Gail
Abstract

DataStaR, a Data Staging Repository (http://datastar.mannlib.cornell.edu/) hosted by Cornell University?s Albert R. Mann Library, was conceived of as a platform and a set of services to facilitate data sharing among collaborators, and to enable faculty to publish digital data and high quality metadata to domain-specific repositories and institutional repositories. DataStaR is intended to serve as a temporary repository for data sets (in any stage of completion) that researchers may share with selected colleagues, as well as a platform with tools for creating metadata in variety of formats, supported by librarian-curators prepared to assist researchers in preparing and submitting both data and metadata for publication to an external repository for the long term.

Sponsorship
This material is based upon work supported by the National Science Foundation under Grant No. III-0712989. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Date Issued
2007
Publisher
International Association for Social Science Information Services and Technology
Keywords
data curation
•
research data
•
institutional repositories
Previously Published as
IASSIST Quarterly vol. 31, no. 3-4. p34-39. 2007.
ISSN
0739-1137
Type
article

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