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    Data curation standards and social science occupational information resources

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    Data curation standards and social science occupational information resources (372.7Kb)

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    Author
    Lambert, Paul; Gayle, Vernon; Tan, Larry; Turner, Ken; SINNOTT, RICHARD; Prandy, Ken
    Date
    2007
    Source Title
    International Journal of Digital Curation
    Publisher
    UKOLN, University of Bath
    University of Melbourne Author/s
    Sinnott, Richard
    Metadata
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    Document Type
    Journal Article
    Citations
    Lambert, P., Gayle, V., Tan, L., Turner, K., Sinnott, R., & Prandy, K. (2007). Data curation standards and social science occupational information resources. International Journal of Digital Curation, 2(1), 73-91.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/28826
    Description

    This work is licensed under Creative Commons Attribution-Some rights reserved http://creativecommons.org/.

    Abstract
    Occupational information resources - data about the characteristics of different occupational positions - are widely used in the social sciences, across a range of disciplines and international contexts. They are available in many formats, most often constituting small electronic files that are made freely downloadable from academic web-pages. However there are several challenges associated with how occupational information resources are distributed to, and exploited by, social researchers. In this paper we describe features of occupational information resources, and indicate the role digital curation can play in exploiting them. We report upon the strategies used in 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 standardized framework-based electronic depository for occupational information resources, and by providing a data indexing service, based on e-Science middleware, which collates occupational information resources and makes them readily accessible to non-specialist social scientists.
    Keywords
    Occupational data; occupational information resources

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