Re-thinking organisms: The impact of databases on model organism biology

dc.contributor.authorLeonelli, S.
dc.contributor.authorAnkeny, R.
dc.date.issued2012
dc.description.abstractCommunity databases have become crucial to the collection, ordering and retrieval of data gathered on model organisms, as well as to the ways in which these data are interpreted and used across a range of research contexts. This paper analyses the impact of community databases on research practices in model organism biology by focusing on the history and current use of four community databases: FlyBase, Mouse Genome Informatics, WormBase and The Arabidopsis Information Resource. We discuss the standards used by the curators of these databases for what counts as reliable evidence, acceptable terminology, appropriate experimental set-ups and adequate materials (e.g., specimens). On the one hand, these choices are informed by the collaborative research ethos characterising most model organism communities. On the other hand, the deployment of these standards in databases reinforces this ethos and gives it concrete and precise instantiations by shaping the skills, practices, values and background knowledge required of the database users. We conclude that the increasing reliance on community databases as vehicles to circulate data is having a major impact on how researchers conduct and communicate their research, which affects how they understand the biology of model organisms and its relation to the biology of other species.
dc.description.statementofresponsibilitySabina Leonelli, Rachel A. Ankeny
dc.identifier.citationStudies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, 2012; 43(1):29-36
dc.identifier.doi10.1016/j.shpsc.2011.10.003
dc.identifier.issn1369-8486
dc.identifier.issn1879-2499
dc.identifier.orcidAnkeny, R. [0000-0002-1547-6031]
dc.identifier.urihttp://hdl.handle.net/2440/72989
dc.language.isoen
dc.publisherPergamon
dc.rightsCopyright © 2011 Elsevier Ltd. All rights reserved.
dc.source.urihttps://doi.org/10.1016/j.shpsc.2011.10.003
dc.subjectDatabase
dc.subjectData
dc.subjectModel organism
dc.subjectData-intensive science
dc.subjectCurator
dc.titleRe-thinking organisms: The impact of databases on model organism biology
dc.typeJournal article
pubs.publication-statusPublished

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