Conference Paper: Open Data in Scientific Settings: From Policy to Practice
The following paper was recently presented (May 7, 2016) and published in the Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems. The version below was made available by one of the co-authors.
Open Data in Scientific Settings: From Policy to Practice
Irene V. Pasquetto
Ashley E. Sands
Peter T. Darch
University of Illinoi
Christine L. Borgman
Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems via Selected Works of Christine L. Borgman (bepress)
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.
Direct to Full Text Paper (13 pages; PDF)
About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.