Classificatory Theory in Data-intensive Science: The Case of Open Biomedical Ontologies

Abstract
Knowledge-making practices in biology are being strongly affected by the availability of data on an unprecedented scale, the insistence on systemic approaches and growing reliance on bioinformatics and digital infrastructures. What role does theory play within data-intensive science, and what does that tell us about scientific theories in general? To answer these questions, I focus on Open Biomedical Ontologies, digital classification tools that have become crucial to sharing results across research contexts in the biological and biomedical sciences, and argue that they constitute an example of classificatory theory. This form of theorizing emerges from classification practices in conjunction with experimental know-how and expresses the knowledge underpinning the analysis and interpretation of data disseminated online
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DOI 10.1080/02698595.2012.653119
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Citations of this work BETA
Integrating Data to Acquire New Knowledge: Three Modes of Integration in Plant Science.Sabina Leonelli - 2013 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):503-514.
What Counts as Scientific Data? A Relational Framework.Sabina Leonelli - 2015 - Philosophy of Science 82 (5):810-821.

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