TY  - JOUR
AU  - Tan, Koon Leai Larry
AU  - Lambert, Paul S.
AU  - Turner, Ken J.
AU  - Blum, Jesse
AU  - Gayle, Vernon
AU  - Jones, Simon B.
AU  - Sinnott, Richard O.
AU  - Warner, Guy
Y2  - 2014/05/21
Y1  - 2009
UR  - http://hdl.handle.net/11343/28780
AB  - 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.
LA  - eng
PB  - Sage Publications
KW  - data management
KW  - quantitative data
KW  - e-Infrastructure
KW  - workflows
KW  - metadata
T1  - Enabling quantitative data analysis through e-infrastructures
IS  - Social Science Computer Review
VL  - 27
IS  - 4
SP  - 539-552
L1  - /bitstream/handle/11343/28780/264032_Sinnott_enabling.pdf?sequence=1&isAllowed=n
ER  -