Hostname: page-component-78c5997874-s2hrs Total loading time: 0 Render date: 2024-11-19T04:31:45.810Z Has data issue: false hasContentIssue false
  • English
  • Français

Data Models and the Acquisition and Manipulation of Data

Published online by Cambridge University Press:  01 January 2022

Todd Harris
Get access Rights & Permissions [Opens in a new window]

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.

Type
Models and Modeling
Information
Philosophy of Science , Volume 70 , Issue 5: Proceedings of the 2002 Biennial Meeting of The Philosophy of Science Association. Part I: Contributed Papers , December 2003 , pp. 1508 - 1517
Copyright
Copyright © The Philosophy of Science Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bogen, James, and Woodward, James (1988), “Saving the Phenomena”, Saving the Phenomena 97:303–352.Google Scholar
Cartwright, Nancy (1999), “Models and the Limits of Theory: Quantum Hamiltonians and the BCS Models of Superconductivity”, in Morgan, Mary S. and Morrison, Margaret (eds.), Models as Mediators. Cambridge: Cambridge University Press, 241–281.CrossRefGoogle Scholar
Franklin, Allan (1990), Experiment, Right or Wrong. Cambridge: Cambridge University Press.CrossRefGoogle Scholar
Lynch, Michael (1990), “The Externalized Retina: Selection and Mathematization in the Visual Documentation of Objects in the Life Sciences”, in Woolgar, Steve and Lynch, Michael (eds.), Representation in Scientific Practice. Cambridge: MIT Press, 153–186.Google Scholar
McAllister, James W. (1997), “Phenomena and Patterns in Data Sets”, Phenomena and Patterns in Data Sets 47:217–228.Google Scholar
Morrison, Margaret (1999), “Models as Autonomous Agents”, in Morgan, Mary S. and Morrison, Margaret (eds.), Models as Mediators. Cambridge: Cambridge University Press, 38–65.CrossRefGoogle Scholar
Suppes, Patrick (1962), “Models of Data”, in Nagel, Ernest, Suppes, Patrick, and Tarsi, Alfred (eds.), Logic, Methodology, and Philosophy of Science. Stanford: Stanford University Press, 252–261.Google Scholar
Woodward, Jim (1989), “Data and Phenomena”, Data and Phenomena 79:393–472.Google Scholar