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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.v10i3.3227</article-id>
      <article-id pub-id-type="publisher-id">10:3:203</article-id>
      <title-group>
        <article-title>Think Trustworthiness, Quality and Value! How the Code of Practice for
          Statistics supports analysts to use data in a way that builds public confidence</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Miller-Bakewell</surname>
            <given-names initials="H">Helen</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Babb</surname>
            <given-names initials="P">Penny</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Office for Statistics Regulation, London,
        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>3227</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/3227">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3227</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>This presentation will show how the Code of Practice for Statistics, developed and
        maintained by the Office for Statistics Regulation (OSR), is relevant to anyone working with
        data, helping them to work in ways that support public confidence in analysis.</p>
    </sec>
    <sec>
      <title>Methods</title>
      <p>The Code of Practice for Statistics encourages and supports data sharing and linkage, in a
        secure way, to maximise the value of data for the public good. It provides a framework for
        tackling tough questions like:</p>
      <list list-type="bullet">
        <list-item>
          <p>How do I navigate the demands of ethical practices and data governance?</p>
        </list-item>
        <list-item>
          <p>How do I balance conducting research with involving and engaging the public?</p>
        </list-item>
        <list-item>
          <p>How do I weigh up meeting research goals with serving the public good?</p>
        </list-item>
      </list>
    </sec>
    <sec>
      <title>Results</title>
      <p>By using a Think TQV approach – applying the Code framework of Trustworthiness, Quality and
        Value to your practice – you can work out the appropriate way forward.</p>
      <p>Trustworthiness helps you work with integrity, building in transparency and ensuring you
        are accountable, particularly in the ways you handle and share data.</p>
      <p>Quality challenges you to ensure your data and methods are suitable, respondent-centric and
        inclusive, and assured.</p>
      <p>Value prompts you to be active and open in engaging and involving stakeholders and public
        members in your work, to be responsive to what you hear and to ensure the value of data are
        maximised.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>All analysts can benefit from applying the Code when working with data. Thinking TQV
        supports you to improve your practice: to work ethically, to ensure good governance, and to
        build a fuller insight of how research will serve the public good by involving and engaging
        the public and other stakeholders.</p>
    </sec>
  </body>
</article>