Skip to main content
Article
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
Abstract
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. 
Keywords
  • Open Data,
  • Science Policy,
  • Computational Infrastructure,
  • Human Infrastructure,
  • Data Practice
Publication Date
Spring May 7, 2016
DOI
10.1145/2858036.2858543
Publisher Statement
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org. CHI'16, May 07 - 12, 2016, San Jose, CA, USA Copyright is held by the owner/author(s). Publication rights licensed to ACM. ACM 978-1-4503-3362-7/16/05…$15.00 DOI: http://dx.doi.org/10.1145/2858036.2858543
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: http://works.bepress.com/borgman/383/.