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Data Models and the Acquisition and Manipulation of Data
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
Stable URL: http://www.jstor.org/stable/10.1086/377426
Page Count: 10
You can always find the topics here!Topics: Data models, Datasets, Raw data, Data processing, Data acquisition, Mitochondria, Ideal gas, Gas temperature, Statistical models, Physics
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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.
Copyright 2003 by the Philosophy of Science Association. All rights reserved.