Enabling Quantitative Data Analysis on Cyberinfrastructures and Grids
Koon Leai Larry Tan, Paul Lambert, Vernon Gayle, Kenneth J. Turner · Stirling Online Research Repository (University of Stirling) · 2007
Abstract. 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.