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Title:Beyond Big or Little Science: Understanding Data Lifecycles in Astronomy and the Deep Subseafloor Biosphere
Author(s):Darch, Peter T.; Sands, Ashley E.
Subject(s):data science including digital curation and big data
knowledge management
infrastructure studies
Abstract:For decades, the big science and little science dichotomy has served as a starting point for many analyses of scientific research and data practices, including studies used to inform the construction of scientific knowledge infrastructures. We challenge this dichotomy by presenting findings from longitudinal, qualitative case studies of data lifecycles in two scientific domains, each centered around a large, distributed scientific collaboration. One is astronomy and the Sloan Digital Sky Survey (SDSS). The other is the deep subseafloor biosphere and the Center for Dark Energy Biosphere Investigations (C-DEBI). We show that some critical stages of the data lifecycle in each domain unfold in big science contexts while other critical stages occur in little science contexts. Furthermore, these big and little science contexts shape each other dynamically. This challenging of the big and little science dichotomy has implications for the building of scientific knowledge infrastructures, including those supporting data management.
Issue Date:2015-03-15
Series/Report:iConference 2015 Proceedings
Genre:Conference Paper / Presentation
Peer Reviewed:yes
Rights Information:Copyright 2015 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2015-03-24

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