Data Curation Standards and the Messy World of Social Science Occupational Information Resources

Citation

Sinnott R, Tan KLL, Turner KJ, Lambert P, Gayle V & Prandy K (2007) Data Curation Standards and the Messy World of Social Science Occupational Information Resources. In: 2nd International Digital Curation Conference. 2nd International Digital Curation Conference, Glasgow, 21.11.2006-22.11.2006. National E-Science Centre, pp. 1-8. http://www.nesc.ac.uk/bibliography/paperdetails.cfm?id=2494&author_list=Sinnott%2CR%2EO%2E%3BTan%2CL%2E%3BTurner%2CK%2EJ%2E%3BLambert%2CP%2E%3BGayle%2CV%2E%3BPrandy%2CK%2E&abstract=Occupational%20information%20resources%20%E2%80%93%20data%20about%20the%20c

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 widelyavailable, typically freely downloadable from 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, based on eScience middleware, which collates occupational information resources and makes them readily accessible to nonspecialist social scientists.

Keywords
conference; context; data; discipline; environment; HEFC 04; Information; INFORMATION resources; ISSUES; LONG-TERM; Play; positions; Research; resources; Role; Science; service; STANDARDS; WORLD

People

Professor Paul Lambert

Professor, Sociology, Social Policy & Criminology

Professor KEN Turner

Emeritus Professor, Computing Science