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dc.contributor.authorLeonelli, Sabina
dc.date.accessioned2013-05-09T12:33:54Z
dc.date.issued2012-03
dc.description.abstractDebates about the emergence, significance and long-term impact of ‘big data’ have become ubiquitous across most scientific disciplines. Thanks to new technologies for generating and storing information, data production is said to have increased on an unprecedented scale, together with the expectation that data should be made freely accessible to global research networks as a common resource from which new knowledge can be harvested (as often emphasised by editorials inNatureandScienceover the last decade). The biological and biomedical sciences are no exception, and are in fact widely seen as fields where the difficulties and potential rewards of handling big datasets are most pronounced.en_GB
dc.identifier.citationVol. 43, Issue 1, pp. 1 - 3en_GB
dc.identifier.doi10.1016/j.shpsc.2011.10.001
dc.identifier.urihttp://hdl.handle.net/10871/9253
dc.publisherElsevieren_GB
dc.relation.urlhttp://www.sciencedirect.com/science/article/pii/S136984861100077Xen_GB
dc.titleIntroduction: Making sense of data-driven research in the biological and biomedical sciencesen_GB
dc.typeArticleen_GB
dc.date.available2013-05-09T12:33:54Z
dc.identifier.issn1369-8486
dc.descriptionThis article belongs to a special issue: Data-Driven Research in the Biological and Biomedical Sciences On Nature and Normativity: Normativity, Teleology, and Mechanism in Biological Explanation. Edited By Sabina Leonelli, Lenny Moss and Daniel J. Nicholsonen_GB
dc.descriptionAuthor's version of a paper subsequently published in Studies in History and Philosophy of Biological and Biomedical Sciences. Please cite the published version by following the DOI link.
dc.identifier.journalStudies in History and Philosophy of Biological and Biomedical Sciencesen_GB


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