Population Data Centre Profiles: Centre for Data Linkage

Population Data Centre Profiles: Centre for Data Linkage

The Centre for Data Linkage (CDL) was established at Curtin University, Western Australia, to develop infrastructure to enable cross-jurisdictional record linkage in Australia. The CDL’s operating model makes use of the ‘separation principle’, with content data typically provided to researchers dir...

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Main Authors: James H Boyd, Sean Randall, Adrian P Brown, Max Maller, Davie Botes, Margo Gillies, Anna Ferrante
Format: Article
Language:English
Published: Swansea University 2020-03-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/1139
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spelling doaj-b1294c9240894927b604c672cbb1ccf62020-11-25T02:37:07ZengSwansea UniversityInternational Journal of Population Data Science2399-49082020-03-014210.23889/ijpds.v4i2.1139Population Data Centre Profiles: Centre for Data LinkageJames H Boyd0Sean Randall1Adrian P Brown2Max Maller3Davie Botes4Margo Gillies5Anna Ferrante6Centre for Data Linkage, School of Public Health, Curtin University; Department of Public Health, School of Psychology and Public Health College of Science, Health & Engineering, La Trobe University1. Centre for Data Linkage, School of Public Health, Curtin University, Perth, Australia 2. Department of Public Health, School of Psychology and Public Health College of Science, Health & Engineering, La Trobe UniversityCentre for Data Linkage, School of Public Health, Curtin University, Perth, AustraliaCentre for Data Linkage, School of Public Health, Curtin University, Kent Street, Bentley, Perth, Western Australia 610Centre for Data Linkage, School of Public Health, Curtin University, Kent Street, Bentley, Perth, Western Australia 610Centre for Data Linkage, School of Public Health, Curtin University, Kent Street, Bentley, Perth, Western Australia 610Centre for Data Linkage, School of Public Health, Curtin University, Kent Street, Bentley, Perth, Western Australia 610 The Centre for Data Linkage (CDL) was established at Curtin University, Western Australia, to develop infrastructure to enable cross-jurisdictional record linkage in Australia. The CDL’s operating model makes use of the ‘separation principle’, with content data typically provided to researchers directly by the data custodian; jurisdictional linkage where available are used within the linkage process. Along with conducting record linkage, the team has also invested in establishing a research programme in record linkage methodology and in developing modern record linkage software which can handle the size and complexity of today’s workloads. The Centre has been instrumental in the development of practical methods for privacy-preserving record linkage, with this methodology now regularly used for real-world linkages. While the promise of a nation-wide linkage system in Australia has yet to be met, distributed models provide a potential solution. https://ijpds.org/article/view/1139
collection DOAJ
language English
format Article
sources DOAJ
author James H Boyd
Sean Randall
Adrian P Brown
Max Maller
Davie Botes
Margo Gillies
Anna Ferrante
spellingShingle James H Boyd
Sean Randall
Adrian P Brown
Max Maller
Davie Botes
Margo Gillies
Anna Ferrante
Population Data Centre Profiles: Centre for Data Linkage
International Journal of Population Data Science
author_facet James H Boyd
Sean Randall
Adrian P Brown
Max Maller
Davie Botes
Margo Gillies
Anna Ferrante
author_sort James H Boyd
title Population Data Centre Profiles: Centre for Data Linkage
title_short Population Data Centre Profiles: Centre for Data Linkage
title_full Population Data Centre Profiles: Centre for Data Linkage
title_fullStr Population Data Centre Profiles: Centre for Data Linkage
title_full_unstemmed Population Data Centre Profiles: Centre for Data Linkage
title_sort population data centre profiles: centre for data linkage
publisher Swansea University
series International Journal of Population Data Science
issn 2399-4908
publishDate 2020-03-01
description The Centre for Data Linkage (CDL) was established at Curtin University, Western Australia, to develop infrastructure to enable cross-jurisdictional record linkage in Australia. The CDL’s operating model makes use of the ‘separation principle’, with content data typically provided to researchers directly by the data custodian; jurisdictional linkage where available are used within the linkage process. Along with conducting record linkage, the team has also invested in establishing a research programme in record linkage methodology and in developing modern record linkage software which can handle the size and complexity of today’s workloads. The Centre has been instrumental in the development of practical methods for privacy-preserving record linkage, with this methodology now regularly used for real-world linkages. While the promise of a nation-wide linkage system in Australia has yet to be met, distributed models provide a potential solution.
url https://ijpds.org/article/view/1139
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AT margogillies populationdatacentreprofilescentrefordatalinkage
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