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
AffiliationComputing and Information Systems
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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