Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/560
Appears in Collections:Computing Science and Mathematics Conference Papers and Proceedings
Peer Review Status: Refereed
Authors: Tan, Koon Leai Larry
Lambert, Paul
Gayle, Vernon
Turner, Kenneth J
Contact Email: kjt@cs.stir.ac.uk
Title: Enabling Quantitative Data Analysis on Cyberinfrastructures and Grids
Editors: Olson, Gary
Procter, Rob
Citation: Tan KLL, Lambert P, Gayle V & Turner KJ (2007) Enabling Quantitative Data Analysis on Cyberinfrastructures and Grids, Olson Gary, Procter Rob (ed.) Proceedings of the 3rd International Conference on e-Social Science, Third International Conference on e-Social Science, Ann Arbor, Michigan, US, Manchester: The National Centre for E-Science, pp. III.20-III.31.
Issue Date: 2007
Conference Name: Third International Conference on e-Social Science
Conference Location: Ann Arbor, Michigan, US
Abstract: The 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.
Type: Conference Paper
Status: Post-print (author final draft post-refereeing)
URI: http://hdl.handle.net/1893/560
URL: http://ess.si.umich.edu/papers.htm
Affiliation: University of Stirling
Sociology/Social Pol&Criminology
Sociology/Social Pol&Criminology
Computing Science - CSM Dept

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