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Enabling Quantitative Data Analysis Through e-Infrastructure
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DOI：10.1177/0894439309332647.png)
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Abstract
En 中文
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
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