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Social and Behavioral Sciences Commons

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Library and Information Science

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Selected Works

Christine L. Borgman

Data sharing

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Articles 1 - 3 of 3

Full-Text Articles in Social and Behavioral Sciences

Data Sharing: A Problem Of Supply Or Of Demand?, Christine L. Borgman Oct 2013

Data Sharing: A Problem Of Supply Or Of Demand?, Christine L. Borgman

Christine L. Borgman

Knowledge sharing in science includes sharing research data. Research funding agencies have focused on increasing the supply of data by requiring data management plans and data sharing. Policy makers have paid surprisingly little attention to the demand for data. It stands to reason that if scholars actively sought data for reuse, then more data would be shared. The few studies that exist on the demand for extant data suggest that researchers rarely are asked for their data and rarely seek data from other investigators. Many investigators have difficulty imagining who might want their data or for what purposes they might …


Data, Data Use, And Scientific Inquiry: Two Case Studies Of Data Practices [Presentation Slides], Wynholds A. Laura, Jillian C. Wallis, Christine L. Borgman, Ashley Sands, Sharon Traweek May 2012

Data, Data Use, And Scientific Inquiry: Two Case Studies Of Data Practices [Presentation Slides], Wynholds A. Laura, Jillian C. Wallis, Christine L. Borgman, Ashley Sands, Sharon Traweek

Christine L. Borgman

Powerpoint Presentation from the 2012 Joint Conference on Digital Libraries (JCDL).

Wynholds, L. A., Wallis, J. C., Borgman, C. L., Sands, A., & Traweek, S. (2012). Data, data use, and scientific inquiry (p. 19). ACM Press. doi:10.1145/2232817.2232822


Data, Data Use, And Inquiry: A New Point Of View On Data Curation, Jillian C. Wallis, Laura A. Wynholds, Christine L. Borgman, Ashley E. Sands, Sharon Traweek Dec 2011

Data, Data Use, And Inquiry: A New Point Of View On Data Curation, Jillian C. Wallis, Laura A. Wynholds, Christine L. Borgman, Ashley E. Sands, Sharon Traweek

Christine L. Borgman

Data are proliferating far faster than they can be captured, managed, or stored. What types of data are most likely to be used and reused, by whom, and for what purposes? Answers to these questions will inform information policy and the design of digital libraries.

We report findings from semi-structured interviews and field observations to investigate characteristics of data use and reuse and how those characteristics vary within and between scientific communities. The two communities studied are the researchers at the Center for Embedded Network Sensing (CENS) and users of the Sloan Digital Sky Survey (SDSS) data. We found that …