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http://hdl.handle.net/1893/3102| 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 Lambert, Paul Turner, Kenneth J Blum, Jesse Michael Gayle, Vernon Jones, Simon Sinnott, Richard Warner, Guy |
| Contact Email: | sbj@cs.stir.ac.uk |
| Keywords: | Data Management Quantitative Data e-Infrastructure Workflows Metadata Social sciences Information services Information storage and retrieval systems Social sciences Management Database management Computational grids (Computer systems) |
| Issue Date: | Nov-2009 |
| Date Deposited: | 21-Jun-2011 |
| 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. |
| DOI Link: | 10.1177/0894439309332647 |
| 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/ |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Enabling Quantitative Data Analysis.pdf | Fulltext - Accepted Version | 452.95 kB | Adobe PDF | View/Open |
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