Data Interpretation in the Digital Age
Identifieur interne : 000227 ( Main/Merge ); précédent : 000226; suivant : 000228Data Interpretation in the Digital Age
Auteurs : Sabina LeonelliSource :
- Perspectives on science : historical, philosophical, social [ 1063-6145 ] ; 2014.
Abstract
The consultation of internet databases and the related use of computer software to retrieve, visualise and model data have become key components of many areas of scientific research. This paper focuses on the relation of these developments to understanding the biology of organisms, and examines the conditions under which the evidential value of data posted online is assessed and interpreted by the researchers who access them, in ways that underpin and guide the use of those data to foster discovery. I consider the types of knowledge required to interpret data as evidence for claims about organisms, and in particular the relevance of knowledge acquired through physical interaction with actual organisms to assessing the evidential value of data found online. I conclude that familiarity with research
Url:
DOI: 10.1162/POSC_a_00140
PubMed: 25729262
PubMed Central: 4340525
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<front><div type="abstract" xml:lang="en"><p id="P1">The consultation of internet databases and the related use of computer software to retrieve, visualise and model data have become key components of many areas of scientific research. This paper focuses on the relation of these developments to understanding the biology of organisms, and examines the conditions under which the evidential value of data posted online is assessed and interpreted by the researchers who access them, in ways that underpin and guide the use of those data to foster discovery. I consider the types of knowledge required to interpret data as evidence for claims about organisms, and in particular the relevance of knowledge acquired through physical interaction with actual organisms to assessing the evidential value of data found online. I conclude that familiarity with research <italic>in vivo</italic>
is crucial to assessing the quality and significance of data visualised <italic>in silico</italic>
; and that studying how biological data are disseminated, visualised, assessed and interpreted in the digital age provides a strong rationale for viewing scientific understanding as a social and distributed, rather than individual and localised, achievement.</p>
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