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Data Models and the Acquisition and Manipulation of Data

Todd Harris
Philosophy of Science
Vol. 70, No. 5, Proceedings of the 2002 Biennial Meeting of The Philosophy of Science AssociationPart I: Contributed PapersEdited by Sandra D. Mitchell (December 2003), pp. 1508-1517
DOI: 10.1086/377426
Stable URL: http://www.jstor.org/stable/10.1086/377426
Page Count: 10
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Data Models and the Acquisition and Manipulation of Data
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Abstract

This paper offers an account of data manipulation in scientific experiments. It will be shown that in many cases raw, unprocessed data is not produced, but rather a form of processed data that will be referred to as a data model. The language of data models will be used to provide a framework within which to understand a recent debate about the status of data and data manipulation. It will be seen that a description in terms of data models allows one to understand cases in which data acquisition and data manipulation cannot be separated into two independent activities.

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