|Appears in Collections:||Computing Science and Mathematics Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Enabling Quantitative Data Analysis through e-Infrastructure|
|Author(s):||Tan, Koon Leai Larry|
Turner, Kenneth J
Blum, Jesse Michael
Social sciences Information services
Information storage and retrieval systems Social sciences Management
Computational grids (Computer systems)
|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. https://doi.org/10.1177/0894439309332647.|
|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.|
|Rights:||The final, definitive version of this article has been published in the Journal, Social Science Computer Review, 27/4, 2009, © SAGE Publications, Inc., 2009 by SAGE Publications, Inc. at the Social Science Computer Review page: http://ssc.sagepub.com/ on SAGE Journals Online: http://online.sagepub.com/|
|Enabling Quantitative Data Analysis.pdf||Fulltext - Accepted Version||452.95 kB||Adobe PDF||View/Open|
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