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dc.contributor.authorTan, Koon Leai Larry-
dc.contributor.authorLambert, Paul-
dc.contributor.authorGayle, Vernon-
dc.contributor.authorTurner, Kenneth J-
dc.contributor.editorOlson, Gary-
dc.contributor.editorProcter, Rob-
dc.description.abstractThe social, behavioral and economic sciences (SBEs) do not currently benefit from a unified workflow environment for the quantitative analysis of social survey data. Some unified models integrating data storage, data management and data analysis do exist, for example the NESSTAR, IPUMS and LIS projects. However all of these services are focused on a limited number of data resources and functionalities. The Cyberinfrastructure could be exploited to develop and support a more generic workflow environment. In this paper, we build upon earlier work in providing a specialist data access service to social scientists (the GEODE project), to outline a proposed framework for a generic quantitative social science infrastructural service based on open standards.en_UK
dc.publisherThe National Centre for E-Science-
dc.relationTan KLL, Lambert P, Gayle V & Turner KJ (2007) Enabling Quantitative Data Analysis on Cyberinfrastructures and Grids In: Olson Gary, Procter Rob (ed.) Proceedings of the 3rd International Conference on e-Social Science, Manchester: The National Centre for E-Science. Third International Conference on e-Social Science, 7.10.2007 - 9.10.2007, Ann Arbor, Michigan, US, pp. III.20-III.31.-
dc.titleEnabling Quantitative Data Analysis on Cyberinfrastructures and Gridsen_UK
dc.typeConference Paperen_UK
dc.type.statusPost-print (author final draft post-refereeing)-
dc.citation.btitleProceedings of the 3rd International Conference on e-Social Science-
dc.citation.conferencelocationAnn Arbor, Michigan, US-
dc.citation.conferencenameThird International Conference on e-Social Science-
dc.contributor.affiliationUniversity of Stirling-
dc.contributor.affiliationSociology/Social Pol&Criminology-
dc.contributor.affiliationSociology/Social Pol&Criminology-
dc.contributor.affiliationComputing Science - CSM Dept-
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings

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