Data curation standards and the messy world of social science occupational information resources

Lambert, P., Tan, L., Turner, K., Gayle, V., Sinnott, R.O. and Prandy, K. (2006) Data curation standards and the messy world of social science occupational information resources. In: 2nd International Digital Curation Conference, Glasgow, UK, 21-22 Nov 2006,

Abstract

Occupational information resources – data about the characteristics of different occupational positions – play a unique role in social science research. They are of relevance across diverse research disciplines and in numerous disparate contexts. They are also very widely available, typically freely downloadable from research-oriented academic web-pages. But they are also one of the most uncoordinated types of information resource that social scientists routinely come across. In this paper we describe issues in curating occupational information resources during the GEODE research project (Grid Enabled Occupational Data Environment, http:/www.geode.stir.ac.uk). This project attempts to develop long-term standards for the distribution of occupational information resources, by providing a standardised framework electronic depository for occupational information resources, and by providing a data-indexing service, premised upon eScience middleware, which collates occupational information resources and makes them readily accessible to non-specialist social scientists.

• Item Type: Conference Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Sinnott, Professor Richard
• Authors: Lambert, P., Tan, L., Turner, K., Gayle, V., Sinnott, R.O., and Prandy, K.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: University Services > IT Services > Computing Service
• Copyright Holders: Copyright © 2006 The Author
• Publisher Policy: Reproduced with the permission of the author.