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dc.contributor.authorLeonelli, Sabina
dc.date.accessioned2015-01-15T16:09:29Z
dc.date.accessioned2016-03-29T15:26:33Z
dc.date.issued2013
dc.description.abstractThis paper discusses what it means and what it takes to integrate data in order to acquire new knowledge about biological entities and processes. Maureen O’Malley and Orkun Soyer have pointed to the scientific work involved in data integration as important and distinct from the work required by other forms of integration, such as methodological and explanatory integration, which have been more successful in captivating the attention of philosophers of science. Here I explore what data integration involves in more detail and with a focus on the role of data-sharing tools, like online databases, in facilitating this process; and I point to the philosophical implications of focusing on data as a unit of analysis. I then analyse three cases of data integration in the field of plant science, each of which highlights a different mode of integration: (1) inter-level integration, which involves data documenting different features of the same species, aims to acquire an interdisciplinary understanding of organisms as complex wholes and is exemplified by research on Arabidopsis thaliana; (2) cross-species integration, which involves data acquired on different species, aims to understand plant biology in all its different manifestations and is exemplified by research on Miscanthus giganteus; and (3) translational integration, which involves data acquired from sources within as well as outside academia, aims at the provision of interventions to improve human health (e.g. by sustaining the environment in which humans thrive) and is exemplified by research on Phytophtora ramorum. Recognising the differences between these efforts sheds light on the dynamics and diverse outcomes of data dissemination and integrative research; and the relations between the social and institutional roles of science, the development of data-sharing infrastructures and the production of scientific knowledge.en_GB
dc.identifier.citationVol. 44, Issue 4, pp. 503 - 514en_GB
dc.identifier.doi10.1016/j.shpsc.2013.03.020
dc.identifier.urihttp://hdl.handle.net/10871/20863
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.replaceshttp://hdl.handle.net/10871/16165en_GB
dc.relation.replaces10871/16165en_GB
dc.relation.replaces10036/4486en_GB
dc.relation.replaceshttp://hdl.handle.net/10036/4486en_GB
dc.relation.replaces10036/4486
dc.relation.replaceshttp://hdl.handle.net/10036/4486
dc.relation.urlhttp://www.sciencedirect.com/science/journal/13698486/44/4/part/PAen_GB
dc.subjectDataen_GB
dc.subjectIntegrationen_GB
dc.subjectPlant biologyen_GB
dc.subjectTranslational researchen_GB
dc.subjectModel organismsen_GB
dc.subjectScientific knowledgeen_GB
dc.titleIntegrating data to acquire new knowledge: three modes of integration in plant scienceen_GB
dc.typeArticleen_GB
dc.date.available2015-01-15T16:09:29Z
dc.date.available2016-03-29T15:26:33Z
dc.identifier.issn1369-8486
pubs.merge-from10036/4486
pubs.merge-fromhttp://hdl.handle.net/10036/4486
dc.identifier.journalStudies in History and Philosophy of Science Part C :Studies in History and Philosophy of Biological and Biomedical Sciencesen_GB


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