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dc.contributor.authorLeonelli, Sabinaen_GB
dc.date.accessioned2013-03-15T14:33:29Zen_GB
dc.date.accessioned2013-03-20T15:51:37Z
dc.date.issued2014-09-01en_GB
dc.description.abstractThe 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 in vivo is crucial to assessing the quality and significance of data visualised in silico; 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.en_GB
dc.identifier.citationVol. 22 (3), pp. 397–417
dc.identifier.doi10.1162/POSC_a_00140
dc.identifier.urihttp://hdl.handle.net/10036/4484en_GB
dc.language.isoenen_GB
dc.publisherMIT Pressen_GB
dc.titleData Interpretation in the Digital Ageen_GB
dc.typeArticleen_GB
dc.date.available2013-03-15T14:33:29Zen_GB
dc.date.available2013-03-20T15:51:37Z
dc.identifier.issn1063-6145en_GB
dc.identifier.journalPerspectives on Scienceen_GB


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