Developing a Community Capability Model Framework for data-intensive research

Liz Lyon, Alex Ball, Monica Duke, Michael Day

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding


    Researchers across a range of fields have been inspired by the possibilities of data-intensive research. In many cases, however, researchers find themselves unable to take part due to a lack of facilities, insufficient access to data, cultural disincentives, and a range of other impediments. In order to develop a deeper understanding of this, UKOLN, University of Bath and Microsoft Research have been collaborating on developing a Community Capability Model Framework (CCMF) designed to assist institutions, research funding-bodies and researchers to enhance the capability of their communities to perform data-intensive research. This paper explores the rationale for using capability modelling for informing the development of data-intensive research and outlines the main capability factors underlying the current version of the CCMF.
    Original languageEnglish
    Title of host publicationiPres 2012
    Subtitle of host publicationProceedings of the 9th International Conference on Preservation of Digital Objects
    EditorsReagan Moore, Kevin Ashley, Seamus Ross
    Place of PublicationToronto
    PublisherUniversity of Toronto, Faculty of Information
    Number of pages8
    ISBN (Electronic)9780991799701
    Publication statusPublished - 2012
    Event9th International Conference on Preservation of Digital Objects (iPres 2012) - Toronto, Canada
    Duration: 1 Oct 20125 Oct 2012


    Conference9th International Conference on Preservation of Digital Objects (iPres 2012)


    • research data management
    • Data-Intensive Research
    • digital curation
    • data centres

    ASJC Scopus subject areas

    • Computer Networks and Communications

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