Repository URL:
http://philsci-archive.pitt.edu/id/eprint/1074
Author(s):
Todd Harris
preprint description
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 current 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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