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    Data linkage infrastructure for cross-jurisdictional health-related research in Australia

    189365_72390_Data_linkage_infrastructure71593.pdf (541.2Kb)
    Access Status
    Open access
    Authors
    Boyd, James
    Ferrante, Anna
    O'Keefe, C.
    Bass, A.
    Randall, Sean
    Semmens, James
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Boyd, James H. and Ferrante, Anna M. and O'Keefe, Christine M. and Bass, Alfred J. and Randall, Sean M. and Semmens, James B. 2012. Data linkage infrastructure for cross-jurisdictional health-related research in Australia. BMC Health Services Research. 12 (480): pp. e1-e8.
    Source Title
    BMC Health Services Research
    DOI
    10.1186/1472-6963-12-480
    ISSN
    1472-6963
    Remarks

    This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/3.0/ Please refer to the licence to obtain terms for any further reuse or distribution of this work.

    URI
    http://hdl.handle.net/20.500.11937/31456
    Collection
    • Curtin Research Publications
    Abstract

    Background: The Centre for Data Linkage (CDL) has been established to enable national and cross-jurisdictional health-related research in Australia. It has been funded through the Population Health Research Network (PHRN), a national initiative established under the National Collaborative Research Infrastructure Strategy (NCRIS). This paper describes the development of the processes and methodology required to create cross-jurisdictional research infrastructure and enable aggregation of State and Territory linkages into a single linkage “map”. Methods: The CDL has implemented a linkage model which incorporates best practice in data linkage and adheres to data integration principles set down by the Australian Government. Working closely with data custodians and State-based data linkage facilities, the CDL has designed and implemented a linkage system to enable research at national or cross-jurisdictional level. A secure operational environment has also been established with strong governance arrangements to maximise privacy and the confidentiality of data. Results: The development and implementation of a cross-jurisdictional linkage model overcomes a number of challenges associated with the federated nature of health data collections in Australia. The infrastructure expands Australia’s data linkage capability and provides opportunities for population-level research. The CDL linkage model, infrastructure architecture and governance arrangements are presented. The quality and capability of the new infrastructure is demonstrated through the conduct of data linkage for the first PHRN Proof of Concept Collaboration project, where more than 25 million records were successfully linked to a very high quality.Conclusions: This infrastructure provides researchers and policy-makers with the ability to undertake linkage-based research that extends across jurisdictional boundaries. It represents an advance in Australia’s national data linkage capabilities and sets the scene for stronger government-research collaboration.

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