Enabling Quantitative Data Analysis Through e-Infrastructure-Reference-Cited by-同舟云学术

Enabling Quantitative Data Analysis Through e-Infrastructure

Published:2009-04-08 Issue:4 Volume:27 Page:539-552
ISSN:0894-4393
Container-title:Social Science Computer Review
language:en
Short-container-title:Social Science Computer Review

Author:

Tan Koon Leai Larry¹,Lambert Paul S.¹,Turner Ken J.¹,Blum Jesse¹,Gayle Vernon¹,Jones Simon B.¹,Sinnott Richard O.²,Warner Guy¹

Affiliation:

1. University of Stirling,

2. University of Glasgow,

Abstract

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.

Publisher

SAGE Publications

Subject

Law,Library and Information Sciences,Computer Science Applications,General Social Sciences

Link

http://journals.sagepub.com/doi/pdf/10.1177/0894439309332647

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