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    Secure, reliable and dynamic access to distributed clinical data

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    Secure, reliable and dynamic access to distributed clinical data (1.467Mb)

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    Author
    STELL, ANTHONY; SINNOTT, RICHARD; Ajayi, Oluwafemi
    Date
    2006
    Source Title
    Proceedings of the Third International Life Science Grid Workshop (LSGRID)
    University of Melbourne Author/s
    Stell, Anthony; Sinnott, Richard
    Metadata
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    Document Type
    Conference Paper
    Citations
    Stell, A., Sinnott, R., & Ajayi, O. (2006). Secure, reliable and dynamic access to distributed clinical data. In Proceedings of the Third International Life Science Grid Workshop (LSGRID) , Yokohama, Japan.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/28845
    Description

    This is a pre-print version of a paper from Proceedings of the Third International Life Science Grid Workshop (LSGRID) , 13-14 Oct 2006, Yokohama, Japan.

    Abstract
    An abundance of statistical and scientific data exists in the area of clinical and epidemiological studies. Much of this data is distributed across regional, national and international boundaries with different policies on access and usage, and a multitude of different schemata for the data often complicated by the variety of supporting clinical coding schemes. This prevents the wide scale collation and analysis of such data as is often needed to infer clinical outcomes and to determine the often moderate effect of drugs. Through grid technologies it is possible to overcome the barriers introduced by distribution of heterogeneous data and services. However reliability, dynamicity and fine-grained security are essential in this domain, and are not typically offered by current grids. The MRC funded VOTES project (Virtual Organisations for Trials and Epidemiological Studies) has implemented a prototype infrastructure specifically designed to meet these challenges. This paper describes this on-going implementation effort and the lessons learned in building grid frameworks for and within a clinical environment.
    Keywords
    Grid; clinical trials; data infrastructure

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