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
Abstract. This paper discusses a Grid implementation for facilitating large-scale social sciences re...
The formation of a GRID for the support of social research strongly depends on the collaboration of...
This presentation is intended as an introduction to grid computing and its applications to social sc...
Grid computing is moving from its original focus on the physical sciences to other disciplines such ...
The last two decades have seen substantially increased potential for quantitative social science res...
This paper discusses the use of metadata, underpinned by DDI (Data Documentation Initiative), to sup...
This paper aims to illustrate the potential benefits for academic end-users of integrating existing ...
This paper aims to illustrate the potential benefits for academic end-users of integrating exiting e...
Abstract. This paper discusses how quantitative data analysis in the social sciences can engage with...
This paper aims to illustrate the potential benefits for academic end-users of integrating exiting e...
This chapter explores a user-led approach in the development of e-social science in which an interdi...
This paper discusses the use of metadata, underpinned by DDI (Data Documentation Initiative), to sup...
The Seamless Access to Multiple Datasets (SAMD) project is designed to demonstrate the benefits of ...
"When the term 'e-Science' became popular, it frequently was referred to as 'enhanced science' or 'e...
Within the past five years, the Grid has evolved from its beginnings as a highly specialised resear...
Abstract. This paper discusses a Grid implementation for facilitating large-scale social sciences re...
The formation of a GRID for the support of social research strongly depends on the collaboration of...
This presentation is intended as an introduction to grid computing and its applications to social sc...
Grid computing is moving from its original focus on the physical sciences to other disciplines such ...
The last two decades have seen substantially increased potential for quantitative social science res...
This paper discusses the use of metadata, underpinned by DDI (Data Documentation Initiative), to sup...
This paper aims to illustrate the potential benefits for academic end-users of integrating existing ...
This paper aims to illustrate the potential benefits for academic end-users of integrating exiting e...
Abstract. This paper discusses how quantitative data analysis in the social sciences can engage with...
This paper aims to illustrate the potential benefits for academic end-users of integrating exiting e...
This chapter explores a user-led approach in the development of e-social science in which an interdi...
This paper discusses the use of metadata, underpinned by DDI (Data Documentation Initiative), to sup...
The Seamless Access to Multiple Datasets (SAMD) project is designed to demonstrate the benefits of ...
"When the term 'e-Science' became popular, it frequently was referred to as 'enhanced science' or 'e...
Within the past five years, the Grid has evolved from its beginnings as a highly specialised resear...
Abstract. This paper discusses a Grid implementation for facilitating large-scale social sciences re...
The formation of a GRID for the support of social research strongly depends on the collaboration of...
This presentation is intended as an introduction to grid computing and its applications to social sc...