The Time of Data: Time-Scales of Data Use in the Life Sciences
Philosophy of Science
University of Chicago Press
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Currently under an indefinite embargo pending publication by University of Chicago Press. 12-month embargo required on publication
This paper considers the temporal dimension of data processing and use, and the ways in which it affects the production and interpretation of knowledge claims. I start by distinguishing the time at which data collection, dissemination and analysis occur (Data time, or Dt) from the time in which the phenomena for which data serve as evidence operate (Phenomena time, or Pt). Building on the analysis of two examples of data re-use from modelling and experimental practices in biology, I then argue that Dt affects how researchers (1) select and interpret data as evidence and (2) identify and understand phenomena.
This research was funded by the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013) / ERC grant agreement n° 335925 (project “The Epistemology of Data-Intensive Science”); and the ARC Discovery Grant “Organisms and Us” (DP160102989).
This is the author accepted manuscript.
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