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    The Ark: a customizable web-based data management tool for health and medical research

    Access Status
    Fulltext not available
    Authors
    Bickerstaffe, A.
    Ranaweera, T.
    Endersby, T.
    Ellis, C.
    Maddumarachchi, S.
    Gooden, G.
    White, P.
    Moses, Eric
    Hewitt, A.
    Hopper, J.
    Date
    2017
    Type
    Journal Article
    
    Metadata
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    Citation
    Bickerstaffe, A. and Ranaweera, T. and Endersby, T. and Ellis, C. and Maddumarachchi, S. and Gooden, G. and White, P. et al. 2017. The Ark: a customizable web-based data management tool for health and medical research. Bioinformatics. 33 (4): pp. 624-626.
    Source Title
    Bioinformatics
    DOI
    10.1093/bioinformatics/btw675
    ISSN
    1367-4803
    School
    School of Biomedical Sciences
    URI
    http://hdl.handle.net/20.500.11937/54463
    Collection
    • Curtin Research Publications
    Abstract

    Summary: The Ark is an open-source web-based tool that allows researchers to manage health and medical research data for humans and animals without specialized database skills or programming expertise. The system provides data management for core research information including demographic, phenotype, biospecimen and pedigree data, in addition to supporting typical investigator requirements such as tracking participant consent and correspondence, whilst also being able to generate custom data exports and reports. The Ark is 'study generic' by design and highly configurable via its web interface, allowing researchers to tailor the system to the specific data management requirements of their study. Availability and Implementation: Source code for The Ark can be obtained freely from the website https://github.com/The-Ark-Informatics/ark/ . The source code can be modified and redistributed under the terms of the GNU GPL v3 license. Documentation and a pre-configured virtual appliance can be found at the website http://sphinx.org.au/the-ark/ . Contact: adrianb@unimelb.edu.au. Supplementary information: Supplementary data are available at Bioinformatics online.

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