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Data linkage infrastructure for cross-jurisdictional health-related research in Australia
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 I...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579698/ https://www.ncbi.nlm.nih.gov/pubmed/23272652 http://dx.doi.org/10.1186/1472-6963-12-480 |
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author | Boyd, James H Ferrante, Anna M O’Keefe, Christine M Bass, Alfred J Randall, Sean M Semmens, James B |
author_facet | Boyd, James H Ferrante, Anna M O’Keefe, Christine M Bass, Alfred J Randall, Sean M Semmens, James B |
author_sort | Boyd, James H |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-3579698 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35796982013-02-23 Data linkage infrastructure for cross-jurisdictional health-related research in Australia Boyd, James H Ferrante, Anna M O’Keefe, Christine M Bass, Alfred J Randall, Sean M Semmens, James B BMC Health Serv Res Correspondence 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. BioMed Central 2012-12-29 /pmc/articles/PMC3579698/ /pubmed/23272652 http://dx.doi.org/10.1186/1472-6963-12-480 Text en Copyright ©2012 Boyd et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Correspondence Boyd, James H Ferrante, Anna M O’Keefe, Christine M Bass, Alfred J Randall, Sean M Semmens, James B Data linkage infrastructure for cross-jurisdictional health-related research in Australia |
title | Data linkage infrastructure for cross-jurisdictional health-related research in Australia |
title_full | Data linkage infrastructure for cross-jurisdictional health-related research in Australia |
title_fullStr | Data linkage infrastructure for cross-jurisdictional health-related research in Australia |
title_full_unstemmed | Data linkage infrastructure for cross-jurisdictional health-related research in Australia |
title_short | Data linkage infrastructure for cross-jurisdictional health-related research in Australia |
title_sort | data linkage infrastructure for cross-jurisdictional health-related research in australia |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3579698/ https://www.ncbi.nlm.nih.gov/pubmed/23272652 http://dx.doi.org/10.1186/1472-6963-12-480 |
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