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Case Study in Assessing Scientific Data Management Practices and Needs

Presenter 1
Sherry Lake
University of Virginia Library

The University of Virginia Library is working to support new data management requirements in science and engineering by developing a model that first draws upon close collaboration between data experts and subject librarians, and culminates in policy and infrastructure recommendations to the University's Office of the Vice President for Research (VPR) and the Office of the Vice President/Chief Information Officer (VP/CIO). This model begins with a data interview to assess the researcher's data management practices and needs and to establish a baseline awareness of current practice. After collecting this information, the results are furnished to the institutional repository team and NSF Data Management Plan working group to inform their processes. In aggregate form, this information is provided to the VPR and VP/CIO as policy and infrastructure recommendations. Ultimately, the entire process cycles back to the researcher with specific recommendations and solutions that will help improve the research process. This presentation will offer a case study following a scientist through this consulting process with the hope that it will be useful as a means of identifying user needs and as a model for the evolving data profession across many disciplines.

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