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Article in Journal ()

Enabling Quantitative Data Analysis through e-Infrastructure

Citation
Tan KLL, Lambert P, Turner KJ, Blum JM, Gayle V, Jones S, Sinnott R & Warner G (2009) Enabling Quantitative Data Analysis through e-Infrastructure, Social Science Computer Review, 27 (4), pp. 539-552.

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

Keywords
Data Management; Quantitative Data; e-Infrastructure; Workflows; Metadata

Subject headings
Social sciences Information services; Information storage and retrieval systems Social sciences Management; Database management; Computational grids (Computer systems)

StatusPublished
AuthorsTan Koon Leai Larry, Lambert Paul, Turner Kenneth J, Blum Jesse Michael, Gayle Vernon, Jones Simon, Sinnott Richard, Warner Guy
Publication date11/2009
Publication date online08/04/2009
PublisherSage
ISSN 0894-4393
LanguageEnglish

Journal
Social Science Computer Review: Volume 27, Issue 4 (2009-11)

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