Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/2986
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dc.contributor.authorWarner, Guy-
dc.contributor.authorBlum, Jesse Michael-
dc.contributor.authorJones, Simon-
dc.contributor.authorLambert, Paul-
dc.contributor.authorTurner, Kenneth J-
dc.contributor.authorTan, Koon Leai Larry-
dc.contributor.authorDawson, Alison-
dc.contributor.authorBell, David-
dc.date.accessioned2013-06-09T06:10:13Z-
dc.date.issued2010-08-28-
dc.identifier.urihttp://hdl.handle.net/1893/2986-
dc.description.abstractThe last two decades have seen substantially increased potential for quantitative social science research. This has been made possible by the significant expansion of publicly available social science datasets, the development of new analysis methodologies such as microsimulation, and increase in computing power. These rich resources do, however, bring with them substantial challenges associated with organising and using data. These processes are often referred to as 'data management'. The DAMES project (Data Management through e-Social Science) is working to support activities of data management for social science research. This paper describes the DAMES infrastructure, focusing on the data fusion process that is central to the project approach.en_UK
dc.language.isoen-
dc.publisherRoyal Society-
dc.relationWarner G, Blum JM, Jones S, Lambert P, Turner KJ, Tan KLL, Dawson A & Bell D (2010) A Social Science Data Fusion Tool and the Data Management through e-Social Science (DAMES) Infrastructure, Philosophical Transactions of the Royal Society. A: Mathematical and Physical Sciences, 368 (1925), pp. 3859-3873.-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.-
dc.subjectSocial Scienceen_UK
dc.subjectData Managementen_UK
dc.subjectInfrastructureen_UK
dc.subjectGrid Technologiesen_UK
dc.subjecte-Scienceen_UK
dc.subject.lcshSocial sciences Information services-
dc.subject.lcshInformation storage and retrieval systems Social sciences Management-
dc.subject.lcshComputational grids (Computer systems)-
dc.subject.lcshDatabase management-
dc.titleA Social Science Data Fusion Tool and the Data Management through e-Social Science (DAMES) Infrastructureen_UK
dc.typeJournal Articleen_UK
dc.rights.embargodate2999-12-31T00:00:00Z-
dc.identifier.doihttp://dx.doi.org/10.1098/rsta.2010.0159-
dc.citation.jtitlePhilosophical Transactions of the Royal Society. A: Mathematical and Physical Sciences-
dc.citation.issn0080-4614-
dc.citation.volume368-
dc.citation.issue1925-
dc.citation.spage3859-
dc.citation.epage3873-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusPublisher version (final published refereed version)-
dc.author.emailsbj@cs.stir.ac.uk-
dc.contributor.affiliationComputing Science - CSM Dept-
dc.contributor.affiliationComputing Science and Mathematics-
dc.contributor.affiliationComputing Science - CSM Dept-
dc.contributor.affiliationSociology/Social Pol&Criminology-
dc.contributor.affiliationComputing Science - CSM Dept-
dc.contributor.affiliationUniversity of Stirling-
dc.contributor.affiliationApplied Social Science-
dc.contributor.affiliationEconomics-
dc.rights.embargoterms2999-12-31-
dc.rights.embargoliftdate2999-12-31-
dc.identifier.isi000279990200008-
Appears in Collections:Computing Science and Mathematics Journal Articles

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