Philosophy of Science 70 (5):1508-1517 (2003)
| 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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| Reprint years | 2003 |
| DOI | 10.1086/377426 |
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Citations of this work BETA
Data models, representation and adequacy-for-purpose.Alisa Bokulich & Wendy Parker - 2021 - European Journal for Philosophy of Science 11 (1):1-26.
When Climate Models Agree: The Significance of Robust Model Predictions.Wendy S. Parker - 2011 - Philosophy of Science 78 (4):579-600.
What Distinguishes Data From Models?Sabina Leonelli - 2019 - European Journal for Philosophy of Science 9 (2):22.
What Distinguishes Data From Models?Sabina Leonelli - 2019 - European Journal for Philosophy of Science 9 (2):22.
Scientific Fictions as Rules of Inference.Mauricio Suárez - 2009 - In Fictions in Science: Philosophical Essays on Modeling and Idealization. Routledge. pp. 158--178.
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