Enabling quantitative data analysis through e-infrastructures

    Thumbnail
    Citations
    Altmetric
    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
    Affiliation
    Computing and Information Systems
    Metadata
    Show full item record
    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

    Export Reference in RIS Format     

    Collections