|Appears in Collections:||Computing Science and Mathematics Conference Papers and Proceedings|
|Peer Review Status:||Refereed|
|Authors:||Tan, Koon Leai Larry|
Turner, Kenneth J
|Title:||Enabling Quantitative Data Analysis on Cyberinfrastructures and Grids|
|Citation:||Tan 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, Ann Arbor, Michigan, US, pp. III.20-III.31.|
|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.|
|Status:||Post-print (author final draft post-refereeing)|
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 firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.