Tan, Koon Leai Larry; Lambert, Paul S.; Turner, Ken J.; Blum, Jesse; Gayle, Vernon; Jones, Simon B.; Sinnott, Richard O.; Warner, Guy
(Sage Publications, 2009)
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.