Enabling quantitative data analysis through e-infrastructures

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    Author
    Tan, Koon Leai Larry; Lambert, Paul S.; Turner, Ken J.; Blum, Jesse; Gayle, Vernon; Jones, Simon B.; Sinnott, Richard O.; Warner, Guy
    Date
    2009
    Source Title
    Social Science Computer Review
    Publisher
    Sage Publications
    University of Melbourne Author/s
    Sinnott, Richard
    Metadata
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    Document Type
    Journal Article
    Citations
    Tan, 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.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/28780
    Description

    Publisher’s version is restricted access in accordance with Sage Publications policy. The original publication is available at http://ssc.sagepub.com
    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.
    Keywords
    data management; quantitative data; e-Infrastructure; workflows; metadata

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