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Open Data in Scientific Settings: From Policy to Practice
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (2016)
  • Irene V Pasquetto, University of California, Los Angeles
  • Ashley E. Sands, University of California - Los Angeles
  • Peter T Darch, University of California, Los Angeles
  • Christine L Borgman
Open access to data is commonly required by funding agencies, journals, and public policy, despite the lack of agreement on the concept of “open data.” We present findings from two longitudinal case studies of major scientific collaborations, the Sloan Digital Sky Survey in astronomy and the Center for Dark Energy Biosphere Investigations in deep subseafloor biosphere studies. These sites offer comparisons in rationales and policy interpretations of open data, which are shaped by their differing scientific objectives. While policy rationales and implementations shape infrastructures for scientific data, these rationales also are shaped by pre-existing infrastructure. Meanings of the term “open data” are contingent on project objectives and on the infrastructures to which they have access. 
  • Open Data,
  • Science Policy,
  • Computational Infrastructure,
  • Human Infrastructure,
  • Data Practice
Publication Date
Spring May 7, 2016
Publisher Statement
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Citation Information
Irene V Pasquetto, Ashley E. Sands, Peter T Darch and Christine L Borgman. "Open Data in Scientific Settings: From Policy to Practice" Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (2016) p. 1585 - 1596 Available at: