@inproceedings{dff6c23d3db745a0a24f9319c416acdd,
title = "Open data in scientific settings: From policy to practice",
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 = "Computational infrastructure, Data practice, Human infrastructure, Open data, Science policy",
author = "Pasquetto, {Irene V.} and Sands, {Ashley E.} and Darch, {Peter T.} and Borgman, {Christine L.}",
year = "2016",
month = may,
day = "7",
doi = "10.1145/2858036.2858543",
language = "English (US)",
series = "Conference on Human Factors in Computing Systems - Proceedings",
publisher = "Association for Computing Machinery",
pages = "1585--1596",
booktitle = "CHI 2016 - Proceedings, 34th Annual CHI Conference on Human Factors in Computing Systems",
address = "United States",
note = "34th Annual Conference on Human Factors in Computing Systems, CHI 2016 ; Conference date: 07-05-2016 Through 12-05-2016",
}