Enabling quantitative data analysis through e-infrastructures
AuthorTan, Koon Leai Larry; Lambert, Paul S.; Turner, Ken J.; Blum, Jesse; Gayle, Vernon; Jones, Simon B.; Sinnott, Richard O.; Warner, Guy
Source TitleSocial Science Computer Review
University of Melbourne Author/sSinnott, Richard
Document TypeJournal Article
CitationsTan, K. L. L., Lambert, P. S., Turner, K. J., Blum, J., Gayle, V., Jones, S. B., et al. (2009). Enabling quantitative data analysis through e-infrastructures. Social Science Computer Review, 27(4), 539-552.
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Publisher’s version is restricted access in accordance with Sage Publications policy. The original publication is available at http://ssc.sagepub.com
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.
Keywordsdata management; quantitative data; e-Infrastructure; workflows; metadata
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