Summary information

Study title

Semantic grid tools for rural policy development and appraisal

Creator

Edwards, P, University of Aberdeen

Study number / PID

850716 (UKDA)

10.5255/UKDA-SN-850716 (DOI)

Data access

Restricted

Series

Not available

Abstract

The project will assist the social science community to exploit the full potential of emerging Semantic Web technologies and standards in the Grid context. It will expand upon an earlier ESRC-funded pilot demonstrator project at Aberdeen (Fearlus-G[1]) to explore the costs and benefits of using proposed Semantic Grid standards and methodology in tasks related to policy development and appraisal. Aims of the Node are as follows: To facilitate evidence-based rural, social, and land-use policy-making through integrated analysis of mixed data types, with the goal of enabling the achievement of greater sustainability through cross-sectoral policy-making; To demonstrate that Semantic Web/Grid solutions can be deployed to support various facets of evidence-based policy-making through the development of appropriate tools; To focus on the authoring of relevant ontologies to support rural, social and land-use policy domains; To investigate issues surrounding communication of semantic metadata to social scientists and policy practitioners; To promote awareness of the Semantic Grid vision and supporting technologies amongst social scientists, and to facilitate training through workshops, etc.; To foster interdisciplinary research between social and computing scientists.

Topics

Keywords

Methodology

Data collection period

01/02/2006 - 30/04/2009

Country

United Kingdom

Time dimension

Not available

Analysis unit

Individual
Text unit

Universe

Not available

Sampling procedure

Not available

Kind of data

Numeric
Text

Data collection mode

This research used a range of methods to evaluate the software tools developed during the project. These included interviews, focus groups, user observation, and analysis of quantitative data (via system logs). Specific methods used to conduct the various studies are described in the deposit metadata.

Funding information

Grant number

RES-149-25-1027

Access

Publisher

UK Data Service

Publication year

2013

Terms of data access

The Data Collection is available for download to users registered with the UK Data Service.

Related publications

Not available