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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.v10i3.3216</article-id>
      <article-id pub-id-type="publisher-id">10:3:180</article-id>
      <title-group>
        <article-title>Exploring public perspectives in sensitive data research: Co-creating UK-wide
          public dialogues for inclusive insights</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Evans</surname>
            <given-names initials="A">Alan</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Frowen</surname>
            <given-names initials="S">Sam</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>ONS, Titchfield, United Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>ONS, Newport, United Kingdom</institution></aff>
      <pub-date>
        <day>01</day>
        <month>06</month>
        <year>2025</year>
      </pub-date>
      <pub-date date-type="collection" publication-format="electronic">
        <year>2025</year>
      </pub-date>
      <volume>8</volume>
      <issue>4</issue>
      <elocation-id>3216</elocation-id>
      <permissions>
        <license license-type="open-access"
          xlink:href="https://creativecommons.org/licences/by/4.0/">
          <license-p>This work is licenced under a Creative Commons Attribution 4.0 International
            License.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="https://ijpds.org/article/view/3216">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3216</self-uri>
    </article-meta>
  </front>
  <body>
    <p>Evidence on refugee integration outcomes in the UK is lacking, partly due to an absence of
      datasets which permit refugees to be identified. The RIO longitudinal cohort study designed in
      collaboration with the Home Office and MHCLG aims to address this by linking various
      administrative data longitudinally.</p>
    <p>RIO covers cohorts granted asylum and those who resettled in the UK via several resettlement
      schemes between 2015 and 2023. Administrative datasets linked to the RIO cohorts include the
      Personal Demographic Service (PDS), Home Office Borders and Immigration (HOBI) data, Births,
      Deaths and 2021 Census. Our latest iteration linked Pay as you earn (PAYE), Energy performance
      certificate (EPC) and Valuation Office Agency (VOA). Alongside improvements to our
      deterministic and associative linkage algorithms, we’ve now incorporated Ministry of Justice’s
      Splink coding package to enable us to link via probabilistic methods and further improve our
      linkage rates and quality.</p>
    <p>Experimental analysis has looked at social and economic outcomes for these refugee cohorts.
      Linkage to NHS data helps us understand access to health services and time taken to access
      these services once resettled. Our publication due for release in April 2025 provides us with
      a rich understanding and evidence of how linked administrative and Census data can bridge the
      gap in understanding of how refugees integrate into the labour market and housing systems in
      the UK up to 6 years after their arrival or grant of asylum. We also break these insights down
      into key characteristics to not only show how integration varies by asylum and refugee cohorts but
      also by age, sex and geographical region.</p>
    <p>RIO will ultimately help inform local authorities, government, charities and other
      organisations with resource allocation for these vulnerable populations. We are planning to
      make this dataset available to Accredited Researchers via the ONS Secure Research Service
      (SRS) and the Integrated Data Service (IDS).</p>
  </body>
</article>