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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">IJPDS</journal-id>
<journal-title-group>
<journal-title>International Journal of Population Data Science</journal-title>
<abbrev-journal-title>IJPDS</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2399-4908</issn>
<publisher>
<publisher-name>Swansea University</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.23889/ijpds.v11i5.3516</article-id>
<article-id pub-id-type="publisher-id">11:5:3516</article-id>
<article-id pub-id-type="pii">S2399490821035163</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Population Data Science</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>From Consultation to Innovation: A Data Access Pathways Tool to Navigate Australia’s Linked Data Landscape</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Dombrovskaya</surname><given-names initials="M">Mikhalina</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Hagemann</surname><given-names initials="E">Erika</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Flack</surname><given-names initials="F">Felicity</given-names></name><xref ref-type="aff" rid="affil-1"><sup>1</sup></xref></contrib>
<aff id="affil-1"><label>1</label><institution>Population Health Research Network (PHRN), Perth, Australia</institution></aff>
</contrib-group>
<pub-date date-type="pub" publication-format="electronic"><day></day><month></month><year></year></pub-date>
<pub-date date-type="collection" publication-format="electronic"><year></year></pub-date>
<volume>11</volume>
<issue>5</issue>
<elocation-id>3516</elocation-id>
<permissions>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.</license-p>
</license>
</permissions>
<self-uri xlink:href="https://ijpds.org/article/view/3516">This article is available from the IJPDS website at: https://ijpds.org/article/view/3516</self-uri>
<abstract>
<sec>
<title>Background</title>
<p>Australia’s administrative data linkage environment has evolved from state-based repositories used for internal reporting, to an ecosystem of national linked data assets alongside bespoke linkage services. This has increased complexity for researchers seeking linked data access. A 2024 national consultation identified a need for tools to support transparent exploration of researcher-appropriate access pathways.</p>
</sec>
<sec>
<title>Methods</title>
<p>The Population Health Research Network led a researcher-centred, co-design process with data linkage units, Commonwealth organisations, and research end-users to develop the Data Access Pathways tool, an online decision-support tool that enables researchers to input their project parameters and discover access pathway options. Tool development involved specification of pathway logic, business rules, wireframes, and iterative user testing.</p>
</sec>
<sec>
<title>Results</title>
<p>Access pathways present different ethics, governance and operational requirements, and importantly variations in data breadth and granularity. Such complex challenges also exist in federated or multi-agency linkage systems internationally (e.g., Canada, UK). The Data Access Pathways tool demonstrates that structured decision logic embedded in a user-friendly tool can simplify the complexity by supplying pathway options, guidance and contact points — building researcher capacity, reducing planning overhead, and promoting equitable access.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The Data Access Pathways tool translates national-level consultation and stakeholder collaboration into practical, scalable infrastructure. Although developed for Australia, the underlying principles — neutrality, transparency, co-design, and flexible decision logic — are broadly applicable to other systems with fragmented or evolving linkage landscapes. This work offers a model for strengthening national data infrastructure and facilitating population data research globally.</p>
</sec>
</abstract>
</article-meta>
</front>
</article>