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Data Management through e-Social Science: Case studies, Provision and Support (DAMES)

  • Start date: 01 February 2008
  • End date: 31 July 2011

DAMES is a research Node in the ESRC’s programme of ‘e-Social Science’, a broad initiative seeking to exploit new computer science approaches, known as ‘e-Science’ and the ‘Grid’, for the benefit of social science research and development.

The focus of the DAMES Node is on using e-Science to help support social scientists with tasks of ‘data management’. Broadly, this refers to social scientists manipulating their own data. Examples include:

  • checking data for inconsistencies (‘cleaning data’)
  • linking together different data files
  • coding or recoding measures (‘operationalising variables’).

Such tasks are a substantial and often challenging part of social research.


The DAMES Node involves a series of collaborations between computer and social scientists. It includes case studies of data management requirements; new provisions such as web pages and other tools to help social scientists access and manipulate data; and support services for users of these e-Science applications (including a programme of training workshops). Several provisions concern specialist fields where data management is especially relevant.These cover specialist information resources on occupations, educational qualifications and ethnic / immigrant groups; linking different types of data on social care, and its analysis through ‘microsimulation’; and linking e-Health and social science data.

Grant holder

Dr Paul Lambert

Programme name

None

Co - applicants

Professor Vernon Gayle

Professor David Bell

Professor Richard Sinnott

Dr Simon Jones

Professor Kenneth John Turner

Professor Margaret Maxwell

Professor Alison Bowes

Grant amount

£901,715.42

Grant reference

RES-149-25-1066

Institution

University of Stirling

Discipline

Sociology

Grant type

Research Grant