On May 10, graduate student researcher Irene Pasquetto presented Open Data in Scientific Settings: From Policy to Practice at the 2016 CHI Conference on Human Factors in Computing Systems, which took place in San Jose, May 7-12.
This conference paper presents KI team 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.