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dc.contributor.authorConnelly, R
dc.contributor.authorPlayford, CJ
dc.contributor.authorGayle, V
dc.contributor.authorDibben, C
dc.date.accessioned2017-06-22T13:04:26Z
dc.date.issued2016-04-14
dc.description.abstractThe term big data is currently a buzzword in social science, however its precise meaning is ambiguous. In this paper we focus on administrative data which is a distinctive form of big data. Exciting new opportunities for social science research will be afforded by new administrative data resources, but these are currently under appreciated by the research community. The central aim of this paper is to discuss the challenges associated with administrative data. We emphasise that it is critical for researchers to carefully consider how administrative data has been produced. We conclude that administrative datasets have the potential to contribute to the development of high-quality and impactful social science research, and should not be overlooked in the emerging field of big data.en_GB
dc.description.sponsorshipThis work was supported by the Economic and Social Research Council [Grant Number ES/L007487/1].en_GB
dc.identifier.citationVol. 59, pp. 1 - 12en_GB
dc.identifier.doi10.1016/j.ssresearch.2016.04.015
dc.identifier.urihttp://hdl.handle.net/10871/28141
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/27480367en_GB
dc.rights© 2016 The Authors. Published by Elsevier Inc. Open Access funded by Economic and Social Research Council. Under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/
dc.subjectAdministrative dataen_GB
dc.subjectBig dataen_GB
dc.subjectData accessen_GB
dc.subjectData managementen_GB
dc.subjectData qualityen_GB
dc.titleThe role of administrative data in the big data revolution in social science researchen_GB
dc.typeArticleen_GB
dc.date.available2017-06-22T13:04:26Z
dc.identifier.issn1096-0317
exeter.place-of-publicationUnited Statesen_GB
dc.descriptionThis is the final version of the article. Available from Elsevier via the DOI in this record.en_GB
dc.identifier.journalSocial Science Researchen_GB
dc.identifier.pmid27480367
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/


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© 2016 The Authors. Published by Elsevier Inc. Open Access funded by Economic and Social Research Council. Under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/
Except where otherwise noted, this item's licence is described as © 2016 The Authors. Published by Elsevier Inc. Open Access funded by Economic and Social Research Council. Under a Creative Commons license: https://creativecommons.org/licenses/by/4.0/