Data models, representation and adequacy-for-purpose

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dc.contributor.authorBokulich, Alisaen
dc.contributor.authorParker, Wendyen
dc.contributor.departmentPhilosophyen
dc.date.accessioned2021-05-11T12:12:32Zen
dc.date.available2021-05-11T12:12:32Zen
dc.date.issued2021-03en
dc.description.abstractWe critically engage two traditional views of scientific data and outline a novel philosophical view that we call the pragmatic-representational (PR) view of data. On the PR view, data are representations that are the product of a process of inquiry, and they should be evaluated in terms of their adequacy or fitness for particular purposes. Some important implications of the PR view for data assessment, related to misrepresentation, context-sensitivity, and complementary use, are highlighted. The PR view provides insight into the common but little-discussed practices of iteratively reusing and repurposing data, which result in many datasets' having a phylogeny-an origin and complex evolutionary history-that is relevant to their evaluation and future use. We relate these insights to the open-data and data-rescue movements, and highlight several future avenues of research that build on the PR view of data.en
dc.description.notesAB gratefully acknowledges the support of the Institute of Advanced Study at Durham University, COFUND Senior Research Fellowship, under EU grant agreement number 609412, which helped make this collaborative project possible.; WP's contribution to this research was supported by funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No 667526 K4U). The content reflects only the authors' views, and the ERC is not responsible for any use that may be made of the information it contains.en
dc.description.sponsorshipInstitute of Advanced Study at Durham University, COFUND Senior Research Fellowship, under EU [609412]; European Research Council (ERC) under the European UnionEuropean Research Council (ERC) [667526 K4U]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/s13194-020-00345-2en
dc.identifier.eissn1879-4920en
dc.identifier.issn1879-4912en
dc.identifier.issue1en
dc.identifier.other31en
dc.identifier.pmid33584875en
dc.identifier.urihttp://hdl.handle.net/10919/103236en
dc.identifier.volume11en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectDataen
dc.subjectData modelsen
dc.subjectData processingen
dc.subjectScientific modelsen
dc.subjectFit-for-purposeen
dc.subjectLegacy dataen
dc.subjectClimate scienceen
dc.subjectAstrophysicsen
dc.subjectGeosciencesen
dc.subjectPragmatismen
dc.titleData models, representation and adequacy-for-purposeen
dc.title.serialEuropean Journal for Philosophy of Scienceen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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