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Data Identity and Perspectivism

Jacoby, Franklin (2020) Data Identity and Perspectivism. [Preprint]

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Abstract

This paper uses several case studies to suggest that 1) two prominent definitions of data do not on their own capture how scientists use data and 2) a novel perspectival account of data is needed. It then outlines some key features of what this account could look like. Those views, the relational and representational, do not fully capture what data are and how they function in science. The representational view is insensitive to the scientific context in which data are used. The relational account does not fully account for the empirical nature of data and how it is possible for data to be evidentially useful. The perspectival account surmounts these problems by accommodating a representational element to data. At the same time, data depend upon the epistemic context because they are the product of situated and informed judgements.


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Item Type: Preprint
Creators:
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Jacoby, Franklin
Additional Information: This article comes out of a project that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement European Consolidator Grant H2020-ERC-2014-CoG 647272 Perspectival Realism. Science, Knowledge, and Truth from a Human Vantage Point).
Keywords: Data, Perspectivism, Relational Account, Evidence, Theory Change
Subjects: General Issues > Data
General Issues > History of Science Case Studies
General Issues > Theory Change
Depositing User: Dr Franklin Jacoby
Date Deposited: 18 Aug 2020 03:27
Last Modified: 18 Aug 2020 03:27
Item ID: 17690
Subjects: General Issues > Data
General Issues > History of Science Case Studies
General Issues > Theory Change
Date: 2 August 2020
URI: https://philsci-archive-dev.library.pitt.edu/id/eprint/17690

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