Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/3102
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTan, Koon Leai Larryen_UK
dc.contributor.authorLambert, Paulen_UK
dc.contributor.authorTurner, Kenneth Jen_UK
dc.contributor.authorBlum, Jesse Michaelen_UK
dc.contributor.authorGayle, Vernonen_UK
dc.contributor.authorJones, Simonen_UK
dc.contributor.authorSinnott, Richarden_UK
dc.contributor.authorWarner, Guyen_UK
dc.date.accessioned2013-06-09T01:43:24Z-
dc.date.available2013-06-09T01:43:24Z-
dc.date.issued2009-11en_UK
dc.identifier.urihttp://hdl.handle.net/1893/3102-
dc.description.abstractThis paper discusses how quantitative data analysis in the social sciences can engage with and exploit an e-Infrastructure. We highlight how a number of activities which are central to quantitative data analysis, referred to as 'data management', can benefit from e-infrastructural support. We conclude by discussing how these issues are relevant to the DAMES (Data Management through e-Social Science) research Node, an ongoing project that aims to develop e-Infrastructural resources for quantitative data analysis in the social sciences.en_UK
dc.language.isoenen_UK
dc.publisherSageen_UK
dc.relationTan KLL, Lambert P, Turner KJ, Blum JM, Gayle V, Jones S, Sinnott R & Warner G (2009) Enabling Quantitative Data Analysis through e-Infrastructure. Social Science Computer Review, 27 (4), pp. 539-552. https://doi.org/10.1177/0894439309332647.en_UK
dc.rightsThe final, definitive version of this article has been published in the Journal, Social Science Computer Review, 27/4, 2009, © SAGE Publications, Inc., 2009 by SAGE Publications, Inc. at the Social Science Computer Review page: http://ssc.sagepub.com/ on SAGE Journals Online: http://online.sagepub.com/en_UK
dc.subjectData Managementen_UK
dc.subjectQuantitative Dataen_UK
dc.subjecte-Infrastructureen_UK
dc.subjectWorkflowsen_UK
dc.subjectMetadataen_UK
dc.subjectSocial sciences Information servicesen_UK
dc.subjectInformation storage and retrieval systems Social sciences Managementen_UK
dc.subjectDatabase managementen_UK
dc.subjectComputational grids (Computer systems)en_UK
dc.titleEnabling Quantitative Data Analysis through e-Infrastructureen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1177/0894439309332647en_UK
dc.citation.jtitleSocial Science Computer Reviewen_UK
dc.citation.issn1552-8286en_UK
dc.citation.issn0894-4393en_UK
dc.citation.volume27en_UK
dc.citation.issue4en_UK
dc.citation.spage539en_UK
dc.citation.epage552en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusAM - Accepted Manuscripten_UK
dc.author.emailsbj@cs.stir.ac.uken_UK
dc.citation.date08/04/2009en_UK
dc.contributor.affiliationUniversity of Stirlingen_UK
dc.contributor.affiliationSociology, Social Policy & Criminologyen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationComputing Science and Mathematics - Divisionen_UK
dc.contributor.affiliationSociology, Social Policy & Criminologyen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.contributor.affiliationUniversity of Glasgowen_UK
dc.contributor.affiliationComputing Scienceen_UK
dc.identifier.isi000270984300007en_UK
dc.identifier.scopusid2-s2.0-70350504477en_UK
dc.identifier.wtid829565en_UK
dc.contributor.orcid0000-0002-3045-4172en_UK
dc.date.firstcompliantdepositdate2011-06-21en_UK
Appears in Collections:Computing Science and Mathematics Journal Articles

Files in This Item:
File Description SizeFormat 
Enabling Quantitative Data Analysis.pdfFulltext - Accepted Version452.95 kBAdobe PDFView/Open


This item is protected by original copyright



Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.