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The Time of Data: Timescales of Data Use in the Life Sciences.

This article 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 th...

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Published in:Philosophy of Science Vol. 85; no. 5; pp. 741 - 755
Main Author: Leonelli, Sabina
Format: Article
Published: Cambridge University Press Dec2018
Subjects:
Electronic data processing
Acquisition of data
Biological research
Data modeling
Data analysis
Online Access:View this record in EBSCOhost
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        au: Leonelli, Sabina
      su:
        Electronic data processing
        Acquisition of data
        Biological research
        Data modeling
        Data analysis
      sug:
        subj:
          Electronic data processing
          Acquisition of data
          Biological research
          Data modeling
          Data analysis
      ab: This article 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 reuse from modeling 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.
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    language: English
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