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[DataStaR|http://datastar.mannlib.cornell.edu/]: A data staging repository and services to promote the publication of data and high quality metadata to both discipline‐specific data centers and Cornell's own institutional repository (eCommons), developed with funding from the National Science Foundation. CUL's data librarians are fielding inquiries from Cornell researchers who are required to include data management and/or sharing plans in grant proposals. In the past year, librarians have contributed text for four grant proposals to the National Science Foundation, and one to the US Environmental Protection Agency. All of these requests specified use of the DataStaR platform as a part of the data management/sharing plan. Cornell researchers are also planning to use DataStaR as a collaboration space, examples of such user groups include Barbara Lust's Virtual Center for Language Acquistion, to share a library of audio recordings among colleagues, and the Cornell Laboratory of Ornithology, which plans to use DataStaR as a temporary workspace for volunteers entering data from decades' worth of nest box data cards. The DataStaR team continues to assist researchers with the publication of data sets to discipline-specific repositories, as well as Cornell's digital repository (eCommons). With the NSF's new requirement all for Data Management plans for all submitted proposals, we expect that the demand for these services will increase dramatically.
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