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  1. Relational data paradigms: What do we learn by taking the materiality of databases seriously?Karen M. Wickett & Andrea K. Thomer - 2020 - Big Data and Society 7 (1).
    Although databases have been well-defined and thoroughly discussed in the computer science literature, the actual users of databases often have varying definitions and expectations of this essential computational infrastructure. Systems administrators and computer science textbooks may expect databases to be instantiated in a small number of technologies, but there are numerous examples of databases in non-conventional or unexpected technologies, such as spreadsheets or other assemblages of files linked through code. Consequently, we ask: How do the materialities of non-conventional databases differ (...)
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  • No Such Thing as Terroir?: Objectivities and the Regimes of Existence of Objects.Geneviève Teil - 2012 - Science, Technology, and Human Values 37 (5):478-505.
    The sociology of science has shown that the scientific quest for truth, framed by the search for objectivity was granting objects of knowledge the form of independent and autonomous things, “data” already given and preexisting their observation. But do “real” objects only fit the form of data or things? If not, to which other form and objectivity do they fit? The author considers the question by examining the dispute between scientists and vintners on the issue of terroir, a complex combination (...)
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  • Data models, representation and adequacy-for-purpose.Alisa Bokulich & Wendy Parker - 2021 - European Journal for Philosophy of Science 11 (1):1-26.
    We critically engage two traditional views of scientific data and outline a novel philosophical view that we call the pragmatic-representational view of data. On the PR view, data are representations that are the product of a process of inquiry, and they should be evaluated in terms of their adequacy or fitness for particular purposes. Some important implications of the PR view for data assessment, related to misrepresentation, context-sensitivity, and complementary use, are highlighted. The PR view provides insight into the common (...)
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  • Buckets of Resistance: Standards and the Effectiveness of Citizen Science.Gwen Ottinger - 2010 - Science, Technology, and Human Values 35 (2):244-270.
    In light of arguments that citizen science has the potential to make environmental knowledge and policy more robust and democratic, this article inquires into the factors that shape the ability of citizen science to actually influence scientists and decision makers. Using the case of community-based air toxics monitoring with ‘‘buckets,’’ it argues that citizen science’s effectiveness is significantly influenced by standards and standardized practices. It demonstrates that, on one hand, standards serve a boundary-bridging function that affords bucket monitoring data a (...)
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  • Climate Science Controversies and the Demand for Access to Empirical Data.James W. McAllister - 2012 - Philosophy of Science 79 (5):871-880.
    In this article, I discuss calls for access to empirical data within controversies about climate science, as revealed and highlighted by the publication of the e-mail correspondence involving scientists at the Climatic Research Unit at the University of East Anglia in 2009. I identify several arguments advanced for and against the sharing of scientific data. My conclusions are that, whereas transparency in science is to be valued, appeals to an unproblematic category of ‘empirical data’ in climate science do not reflect (...)
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  • Open Access Digital Data Sharing: Principles, Policies and Practices☆.Natasha Susan Mauthner & Odette Parry - 2013 - Social Epistemology 27 (1):47 - 67.
    (2013). Open Access Digital Data Sharing: Principles, Policies and Practices☆. Social Epistemology: Vol. 27, No. 1, pp. 47-67. doi: 10.1080/02691728.2012.760663.
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  • Multiple Data.Christoph Hoffmann - 2020 - Perspectives on Science 28 (6):684-699.
    Recent studies of scholarly data work argue that whatever researchers handle as data and, in particular, what researchers consider as potential evidence for supporting claims, counts as data. In this article I extend the relational approach towards data to the various ways of dealing with data in the course of a single research project. Relying on an example from ecology, I argue that data gain presence for and occupy researchers in manifold ways: for example, as a promise, desire or pressure, (...)
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  • Making an Issue out of a Standard: Storytelling Practices in a Scientific Community.Geoffrey C. Bowker, Karen S. Baker, David Ribes & Florence Millerand - 2013 - Science, Technology, and Human Values 38 (1):7-43.
    The article focuses on stories and storytelling practices as explanatory resources in standardization processes. It draws upon an ethnographic study of the development of a technical standard for data sharing in an ecological research community, where participants struggle to articulate the difficulties encountered in implementing the standard. Building from C. Wright Mills’ classic distinction between private troubles and public issues, the authors follow the development of a story as it comes to assist in transforming individual troubles in standard implementation into (...)
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  • Between Scylla and Charybdis: reconciling competing data management demands in the life sciences.Louise M. Bezuidenhout & Michael Morrison - 2016 - BMC Medical Ethics 17 (1):29.
    BackgroundThe widespread sharing of biological and biomedical data is recognised as a key element in facilitating translation of scientific discoveries into novel clinical applications and services. At the same time, twenty-first century states are increasingly concerned that this data could also be used for purposes of bioterrorism. There is thus a tension between the desire to promote the sharing of data, as encapsulated by the Open Data movement, and the desire to prevent this data from ‘falling into the wrong hands’ (...)
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