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dc.contributor.authorSteinhart, Gail
dc.date.accessioned2010-05-24T18:26:24Z
dc.date.available2010-05-24T18:26:24Z
dc.date.issued2010-05-24T18:26:24Z
dc.identifier.urihttps://hdl.handle.net/1813/15035
dc.descriptionPaper given at the Scientific and Technical Information and Rural Development IAALD XIIIth World Congress, Montpellier, 26-29 April 2010en_US
dc.description.abstractDataStaR, a Data Staging Repository (http://datastar.mannlib.cornell.edu/) in development at Cornell University’s Albert R. Mann Library, is intended to support collaboration and data sharing among researchers during the research process, and to promote publishing or archiving data and high-quality metadata to discipline-specific data centers and/or institutional repositories. Researchers may store and share data with selected colleagues, select a repository for data publication, create high quality metadata in the formats required by external repositories and Cornell’s institutional repository, and obtain help from data librarians with any of these tasks. To facilitate cross-domain interoperability and flexibility in metadata management, we employ semantic web technologies as part of DataStaR’s metadata infrastructure. In this paper, we describe the overall design of the system, our work to date with Cornell researchers and their data sets, and possibilities for extending DataStaR for use in international agriculture research.en_US
dc.description.sponsorshipThis 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.en_US
dc.language.isoen_USen_US
dc.subjectdata curationen_US
dc.subjectdata sharingen_US
dc.titleDataStaR: A Data Sharing and Publication Infrastructure to Support Researchen_US
dc.typearticleen_US


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