Abstract
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 librarians—a 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.
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