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2. Enabling Quantitative Data Analysis Through e-Infrastructure.

Author

Koon Leai Larry Tan, Lambert, Paul S., Turner, Ken J., Blum, Jesse, Gayle, Vernon, Jones, Simon B., Sinnott, Richard O., and Warner, Guy

Subjects
*DATA analysis, *INFORMATION superhighway, *SOCIAL sciences & management, *MANAGEMENT science, *SOCIOLOGY, *MODEL validation, *INFORMATION networks, *COMPUTER networks, *WORLD Wide Web
Abstract

This article discusses how quantitative data analysis in the social sciences can engage with and exploit an e-Infrastructure. We highlight how a number of activities that 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 Data Management through e-Social Science (DAMES) research Node, an ongoing project that aims to develop e-Infrastructural resources for quantitative data analysis in the social sciences. [ABSTRACT FROM AUTHOR]

Published
2009
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