Article

A Social Science Data Fusion Tool and the Data Management through e-Social Science (DAMES) Infrastructure

Details

Citation

Warner G, Blum JM, Jones S, Lambert P, Turner KJ, Tan KLL, Dawson A & Bell D (2010) A Social Science Data Fusion Tool and the Data Management through e-Social Science (DAMES) Infrastructure. Philosophical Transactions of the Royal Society. A: Mathematical and Physical Sciences, 368 (1925), pp. 3859-3873. https://doi.org/10.1098/rsta.2010.0159

Abstract
The last two decades have seen substantially increased potential for quantitative social science research. This has been made possible by the significant expansion of publicly available social science datasets, the development of new analysis methodologies such as microsimulation, and increase in computing power. These rich resources do, however, bring with them substantial challenges associated with organising and using data. These processes are often referred to as 'data management'. The DAMES project (Data Management through e-Social Science) is working to support activities of data management for social science research. This paper describes the DAMES infrastructure, focusing on the data fusion process that is central to the project approach.

Keywords
Social Science; Data Management; Infrastructure; Grid Technologies; e-Science; Social sciences Information services; Information storage and retrieval systems Social sciences Management; Computational grids (Computer systems); Database management

Journal
Philosophical Transactions of the Royal Society. A: Mathematical and Physical Sciences: Volume 368, Issue 1925

StatusPublished
Publication date28/08/2010
Date accepted by journal01/01/1990
URLhttp://hdl.handle.net/1893/2986
PublisherRoyal Society
ISSN1364-503X
eISSN1471-2962

People (3)

Dr Alison Dawson

Dr Alison Dawson

Senior Research Fellow, Faculty of Social Sciences

Professor Paul Lambert

Professor Paul Lambert

Professor, Sociology, Social Policy & Criminology

Professor KEN Turner

Professor KEN Turner

Emeritus Professor, Computing Science

Research centres/groups