What Counts as Scientific Data? A Relational Framework

Philosophy of Science 82 (5):810-821 (2015)

Authors
Sabina Leonelli
University of Exeter
Abstract
This paper proposes an account of scientific data that makes sense of recent debates on data-driven and ‘big data’ research, while also building on the history of data production and use particularly within biology. In this view, ‘data’ is a relational category applied to research outputs that are taken, at specific moments of inquiry, to provide evidence for knowledge claims of interest to the researchers involved. They do not have truth-value in and of themselves, nor can they be seen as straightforward representations of given phenomena. Rather, they are fungible objects defined by their portability and prospective usefulness as evidence
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DOI 10.1086/684083
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References found in this work BETA

Pandora’s Hope.Bruno Latour - 1999 - Harvard University Press.
Scientific Perspectivism.Ronald N. Giere - 2006 - University of Chicago Press.
Saving the Phenomena.James Bogen & James Woodward - 1988 - Philosophical Review 97 (3):303-352.
Classificatory Theory in Data-Intensive Science: The Case of Open Biomedical Ontologies.Sabina Leonelli - 2012 - International Studies in the Philosophy of Science 26 (1):47 - 65.

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Citations of this work BETA

Evidence in Neuroimaging: Towards a Philosophy of Data Analysis.Jessey Wright - 2017 - Dissertation, The University of Western Ontario

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