Improving Inter-Agency Data Sharing Through Linkage Spine Interoperability

Introduction Linkage of Federal Government data in Australia is conducted primarily through Accredited Integrating Authorities (AIAs). These agencies hold different dataset from Commonwealth and state/territory government agencies. Historically, linkage projects involving data held by different AIA...

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Main Author: Nick von Sanden
Format: Article
Language:English
Published: Swansea University 2020-12-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/1577
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spelling doaj-c6d32730212f44e4b0de2cb4c1d99a4a2021-02-10T16:42:13ZengSwansea UniversityInternational Journal of Population Data Science2399-49082020-12-015510.23889/ijpds.v5i5.1577Improving Inter-Agency Data Sharing Through Linkage Spine InteroperabilityNick von Sanden0Australian Institute of Health and Welfare Introduction Linkage of Federal Government data in Australia is conducted primarily through Accredited Integrating Authorities (AIAs). These agencies hold different dataset from Commonwealth and state/territory government agencies. Historically, linkage projects involving data held by different AIAs has been inefficient, requiring the transfer of identifiable data between agencies, and relinking data that have already been linked by another agency. Objectives and Approach Two AIAs (the AIHW and ABS) have developed a system of interoperable linkage spines to address this issue. By using common datasets as a base, the agencies have improved the efficiency and security of linkage projects. This process was developed through an analysis of spine datasets, and two test projects to share data between the agencies. Results The two test projects were successfully able to link cross-portfolio and cross-jurisdictional data without the need to share additional identifying information between the AIAs. Preliminary results suggest a high linkage rate from this process, and work is underway to quantify the linkage quality compared to traditional linkage methodologies. The ABS and AIHW are also investigating the implications for linkage quality as more datasets are included in the agencies’ linkage spines. Conclusion / Implications The success of this project will increase the efficiency of cross-jurisdictional and cross-portfolio linkage in Australia. It will also allow specialised AIAs to work on datasets where they have specific expertise, and feed these into broader projects. This is expected to have an additional impact on public trust in the linkage system, by minimising the sharing of personally identifiable information while still maintaining high quality linkage. https://ijpds.org/article/view/1577
collection DOAJ
language English
format Article
sources DOAJ
author Nick von Sanden
spellingShingle Nick von Sanden
Improving Inter-Agency Data Sharing Through Linkage Spine Interoperability
International Journal of Population Data Science
author_facet Nick von Sanden
author_sort Nick von Sanden
title Improving Inter-Agency Data Sharing Through Linkage Spine Interoperability
title_short Improving Inter-Agency Data Sharing Through Linkage Spine Interoperability
title_full Improving Inter-Agency Data Sharing Through Linkage Spine Interoperability
title_fullStr Improving Inter-Agency Data Sharing Through Linkage Spine Interoperability
title_full_unstemmed Improving Inter-Agency Data Sharing Through Linkage Spine Interoperability
title_sort improving inter-agency data sharing through linkage spine interoperability
publisher Swansea University
series International Journal of Population Data Science
issn 2399-4908
publishDate 2020-12-01
description Introduction Linkage of Federal Government data in Australia is conducted primarily through Accredited Integrating Authorities (AIAs). These agencies hold different dataset from Commonwealth and state/territory government agencies. Historically, linkage projects involving data held by different AIAs has been inefficient, requiring the transfer of identifiable data between agencies, and relinking data that have already been linked by another agency. Objectives and Approach Two AIAs (the AIHW and ABS) have developed a system of interoperable linkage spines to address this issue. By using common datasets as a base, the agencies have improved the efficiency and security of linkage projects. This process was developed through an analysis of spine datasets, and two test projects to share data between the agencies. Results The two test projects were successfully able to link cross-portfolio and cross-jurisdictional data without the need to share additional identifying information between the AIAs. Preliminary results suggest a high linkage rate from this process, and work is underway to quantify the linkage quality compared to traditional linkage methodologies. The ABS and AIHW are also investigating the implications for linkage quality as more datasets are included in the agencies’ linkage spines. Conclusion / Implications The success of this project will increase the efficiency of cross-jurisdictional and cross-portfolio linkage in Australia. It will also allow specialised AIAs to work on datasets where they have specific expertise, and feed these into broader projects. This is expected to have an additional impact on public trust in the linkage system, by minimising the sharing of personally identifiable information while still maintaining high quality linkage.
url https://ijpds.org/article/view/1577
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