DataStaR is a data staging repository currently in development at Cornell University Library designed to support the curation of scientific research data. DataStaR employs a semantic metadata management architecture that provides several key benefits to users and librariansâa Web-based interface to create metadata and export valid XML in multiple standards, the ability to reuse previously created metadata in a straightforward manner, and compatibility with emerging semantic Web technologies. This paper reviews considerations that informed the DataStaR project by presenting high-level use cases. It follows with a description of DataStaR's metadata architecture, focusing on the semantic Web components that facilitate metadata reuse and the creation of metadata according to multiple standards. It concludes with a description of how a user may interact with the system.View full textDownload full textKEYWORDSmetadata, Semantic Web, data curation, repository management, scientific data, XMLRelated var addthis_config = { ui_cobrand: "Taylor & Francis Online", services_compact: "citeulike,netvibes,twitter,technorati,delicious,linkedin,facebook,stumbleupon,digg,google,more", pubid: "ra-4dff56cd6bb1830b" }; Add to shortlist Link Permalink http://dx.doi.org/10.1080/19386389.2010.506376
展开▼
