论文信息 - Managing Data in E-Social Science

Managing Data in E-Social Science

Grid computing is moving from its original focus on the physical sciences to other disciplines such as the social sciences. The orientation of these newer applications is on data management rather than processing. This paper describes how the DAMES project (Data Management through E-Social Science) is developing grid-based solutions for handling data in a distributed environment. The paper describes the approach being taken to meet key challenges: metadata for effective use of datasets, and data-oriented workflows for e-social science.

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

[2] Rudolf Schmid,et al. Organization for the advancement of structured information standards , 2002 .

[3] Kenneth J. Turner,et al. Automated Analysis and Implementation of Composed Grid Services , 2007 .

[4] G. D. Putnik,et al. Grid Computing for Virtual Organizations: An E-Social Science Case Study. , 2008 .

[5] Anne E. Trefethen,et al. The Data Deluge: An e-Science Perspective , 2003 .

[6] Yaron Goland,et al. Web Services Business Process Execution Language , 2009, Encyclopedia of Database Systems.

[7] Kenneth J. Turner,et al. Enabling Quantitative Data Analysis on Cyberinfrastructures and Grids , 2007 .

[8] Kenneth J. Turner,et al. Graphical Composition of Grid Services , 2006, RISE.

[9] Karsten Boye Rasmussen,et al. The Data Documentation Initiative , 2004 .

[10] Richard O. Sinnott,et al. Grid Computing for Social Science , 2008 .