Enabling Quantitative Data Analysis on Cyberinfrastructures and Grids

The social, behavioral and economic sciences (SBEs) do not currently benefit from a unified workflow environment for the quantitative analysis of social survey data. Some unified models integrating data storage, data management and data analysis do exist, for example the NESSTAR, IPUMS and LIS projects. However all of these services are focused on a limited number of data resources and functionalities. The Cyberinfrastructure could be exploited to develop and support a more generic workflow environment. In this paper, we build upon earlier work in providing a specialist data access service to social scientists (the GEODE project), to outline a proposed framework for a generic quantitative social science infrastructural service based on open standards.

[1]  Michael Batty,et al.  The National Centre for e-Social Science , 2006 .

[2]  Tony Andrews.  Business Process Execution Language for Web Services Version 1.1 , 2003 .

[3]  Richard O. Sinnott,et al.  Data Curation Standards and Social Science Occupational Information Resources , 2008, Int. J. Digit. Curation.

[4]  Ian T. Foster,et al.  The Anatomy of the Grid: Enabling Scalable Virtual Organizations , 2001, Int. J. High Perform. Comput. Appl..

[5]  Ian T. Foster,et al.  The anatomy of the grid: enabling scalable virtual organizations , 2001, Proceedings First IEEE/ACM International Symposium on Cluster Computing and the Grid.

[6]  Mike Jackson,et al.  Introduction to OGSA-DAI Services , 2004, SAG.

[7]  S. Ruggles.  Integrated Public Use Microdata Series , 2021, Encyclopedia of Gerontology and Population Aging.

[8]  Richard O. Sinnott,et al.  GEODE - Sharing Occupational Data Through the Grid , 2006 .