Enabling quantitative data analysis through e-infrastructures
Citations
Altmetric
Author
Tan, Koon Leai Larry; Lambert, Paul S.; Turner, Ken J.; Blum, Jesse; Gayle, Vernon; Jones, Simon B.; Sinnott, Richard O.; Warner, GuyDate
2009Source Title
Social Science Computer ReviewPublisher
Sage PublicationsUniversity of Melbourne Author/s
Sinnott, RichardMetadata
Show full item recordDocument Type
Journal ArticleCitations
Tan, K. L. L., Lambert, P. S., Turner, K. J., Blum, J., Gayle, V., Jones, S. B., et al. (2009). Enabling quantitative data analysis through e-infrastructures. Social Science Computer Review, 27(4), 539-552.Access Status
This item is currently not available from this repositoryDescription
Publisher’s version is restricted access in accordance with Sage Publications policy. The original publication is available at http://ssc.sagepub.com
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.
Keywords
data management; quantitative data; e-Infrastructure; workflows; metadataExport Reference in RIS Format
Endnote
- Click on "Export Reference in RIS Format" and choose "open with... Endnote".
Refworks
- Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References