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dc.contributor.authorShen, Yien
dc.date.accessioned2019-08-14T17:43:45Z
dc.date.available2019-08-14T17:43:45Z
dc.date.issued2016-07en
dc.identifier.issn0010-0870en
dc.identifier.urihttp://hdl.handle.net/10919/93135
dc.description.abstractThe data landscape study at Virginia Tech addresses the changing modes of faculty scholarship and supports the development of a user-centric data infrastructure, management, and curation system. The study investigates faculty researchers' current practices in organizing, describing, and preserving data and the emerging needs for services and education. The results demonstrate the changing nature of faculty demands regarding data documentation, storage, and archiving and identify opportunities for libraries to develop a coherent service, research, and education system to address the evolving needs.en
dc.format.mimetypeapplication/pdfen
dc.language.isoenen
dc.publisherACRLen
dc.rightsCreative Commons Attribution-NonCommercial 3.0en
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/en
dc.titleStrategic Planning for a Data-Driven, Shared-Access Research Enterprise: Virginia Tech Research Data Assessment and Landscape Studyen
dc.typeArticle - Refereeden
dc.title.serialCollege & Research Librariesen
dc.identifier.doihttps://doi.org/10.5860/crl.77.4.500en
dc.identifier.volume77en
dc.identifier.issue4en
dc.type.dcmitypeTexten
dc.identifier.eissn2150-6701en


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Creative Commons Attribution-NonCommercial 3.0
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