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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.v10i3.3089</article-id>
      <article-id pub-id-type="publisher-id">10:3:73</article-id>
      <title-group>
        <article-title>Inequalities in COVID-19 health outcomes in Wales</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Garbovan</surname>
            <given-names initials="L">Lidis</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Flaig</surname>
            <given-names initials="R">Robin</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>University of Edinburgh, Edinburgh, United
        Kingdom</institution></aff>
      <aff id="affil-2"><label>2</label><institution>University of Bristol, Bristol, United Kingdom</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <day>31</day>
        <month>07</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>3089</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/3089">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3089</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objective</title>
      <p>The Citizen Panel is a pilot research project embedding public feedback and perceptions
        into data access decision-making. The project involves the public in decisions around the
        acceptance and suitability of data use, assessing the scope and benefit of research
        questions and creating a learning feedback loop for decision-making.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>The Citizen Panel was recruited from both Longitudinal Population Studies (LPS) and public
        members traditionally not included in longitudinal research. The Panel met online three
        times from October to December 2024. Materials were provided in advance to explain the
        access process. The meetings combined presentations to the panel where they could discuss
        and ask questions about the data access and decision-making process for research using LPS
        data linked to administrative data. Their final meeting was a full-day Workshop on 31 Jan
        2025 in a hybrid format, in person and online. The Workshop focussed on facilitated group
        discussions, reflections and activities.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>The Panel members reflected on the online meetings in 2024, reviewed the data access
        process, and made recommendations for involving public and minoritized groups in the
        decision-making process. The Panel recommended embedding Equality, Diversity and Inclusion
        as a toolkit in the data access process to help assessing public good in research
        applications. The Panel also made recommendations for co-producing a 2nd stage of the
        project in 2025 and sharing outputs to wider audiences in creative and accessible formats.
        The Panel is strongly interested in a tangible outcome of the project. The Citizen Panel
        project is aimed at inclusion of seldom heard groups in longitudinal research and the
        preliminary results show that the Citizen Panel was delivered in a way that the panel
        members felt valued.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>The first round of the pilot Citizen Panel provided a set of recommendations that will be
        reviewed and where appropriate incorporated into the access process and fed back to the
        Panel. The learnings will help shaping the second round of the project, in dialogue with the
        Panel Members.</p>
    </sec>
  </body>
</article>