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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.v10i3.3195</article-id>
      <article-id pub-id-type="publisher-id">10:3:163</article-id>
      <title-group>
        <article-title>Learning Outcomes in Open Online TRE Training: A Mixed-Methods Evaluation</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Milward</surname>
            <given-names initials="A">Adam</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>MetadataWorks, 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>3195</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/3195">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3195</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>We aim to raise awareness of the latest tools and processes available to manage data
        access, allowing users to improve efficiency and utility while harnessing the power of their
        data for good.</p>
    </sec>
    <sec>
      <title>Method</title>
      <p>A technical demonstration which focuses on the data user journey from discovery to access,
        showcasing an early use case developed by MetadataWorks in partnership with the ONS. We will
        demonstrate key features of the tool, live searching the catalogue, requesting data access
        and managing requests. We will look at the process from the perspective of both the user and
        the data owner.</p>
      <p>We then interrogate how to implement similar projects with some best practice notes,
        allowing attendees to get more from their own data.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>The project is currently in its infancy, though we anticipate the results of implementing
        the tools and process we outline in the session to include 1) reducing the speed of
        processing data access requests, 2) reducing the effort required by the data owner and 3) an
        improved user experience for the requestor. In turn, these improvements will increase the
        visibility and utility of data sets and encourage our ultimate goal of using our data for
        good.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>Attendees will leave the presentation with pragmatic tips and advice regarding upgrading
        their tools and processes to meet best practice standards in managing data access.</p>
    </sec>
  </body>
</article>