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Social Science Computer Review
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e-Social Science and Evidence-Based Policy Assessment

Challenges and Solutions

Peter Edwards

School of Natural & Computing Sciences, University of Aberdeen, p.edwards{at}abdn.ac.uk

John H. Farrington

School of Geosciences, University of Aberdeen, j.farrington{at}abdn.ac.uk

Chris Mellish

School of Natural & Computing Sciences, University of Aberdeen, c.mellish{at}abdn.ac.uk

Lorna J. Philip

School of Geosciences, University of Aberdeen, l.philip{at}abdn.ac.uk, School of Natural & Computing Sciences, University of Aberdeen

Alison H. Chorley

The Macaulay Institute, Craigiebuckler, Aberdeen, a.h.chorley{at}abdn.ac.uk

Feikje Hielkema

School of Geosciences, University of Aberdeen, f.hielkema{at}abdn.ac.uk, School of Natural & Computing Sciences, University of Aberdeen

Edoardo Pignotti

School of Geosciences, University of Aberdeen, e.pignotti{at}abdn.ac.uk, School of Natural & Computing Sciences, University of Aberdeen

Richard Reid

School of Geosciences, University of Aberdeen, r.reid{at}abdn.ac.uk, School of Natural & Computing Sciences, University of Aberdeen

J. Gary Polhill

The Macaulay Institute, Craigiebuckler, Aberdeen, g.polhill{at}macaulay.ac.uk

Nick M. Gotts

The Macaulay Institute, Craigiebuckler, Aberdeen, n.gotts{at}macaulay.ac.uk

The PolicyGrid project is exploring the role of Grid, Semantic Web, and Web 2.0 technologies to support e-Social Science, with particular emphasis on tools to facilitate evidence-based policy making. In this article, we discuss the challenges associated with construction of a provenance framework to support evidence-based policy assessment. We then discuss ourSpaces, a virtual research environment for e-Social Science that uses the Web 2.0 paradigm as well as Semantic Grid technologies and which provides researchers with facilities for management of digital resources using a novel natural language interface.

Key Words: e-Science • evidence-based policy • provenance • ontology • metadata • natural language

This version was published on November 1, 2009

Social Science Computer Review, Vol. 27, No. 4, 553-568 (2009)
DOI: 10.1177/0894439309332305
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