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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.v10i3.3246</article-id>
      <article-id pub-id-type="publisher-id">10:3:211</article-id>
      <title-group>
        <article-title>Public trust, literacy and health data foundations in Canada</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Burt</surname>
            <given-names initials="J">Julia</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Street</surname>
            <given-names initials="C">Catherine</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Naveed</surname>
            <given-names initials="J">Jannath</given-names>
          </name>
          <xref ref-type="aff" rid="affil-1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>McGrail</surname>
            <given-names initials="K">Kimberlyn</given-names>
          </name>
          <xref ref-type="aff" rid="affil-2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="affil-1"><label>1</label><institution>Memorial University of Newfoundland and
        Labrador, St. John's, Canada</institution></aff>
      <aff id="affil-2"><label>2</label><institution>University of British Columbia, Vancouver,
        Canada</institution></aff>
      <pub-date date-type="pub" publication-format="electronic">
        <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>3246</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/3246">This article is available from the
        IJPDS website at: https://ijpds.org/article/view/3246</self-uri>
    </article-meta>
  </front>
  <body>
    <sec>
      <title>Objectives</title>
      <p>Public trust in health data and data literacy are identified as key priorities of
        governments across Canada. Health Data Research Network Canada, funded by the Public Health
        Agency of Canada, developed a foundational paper which identifies an emerging set of
        principles-based recommendations for trustworthy health data practices.</p>
    </sec>
    <sec>
      <title>Method</title>
      <p>The foundational paper was developed through a review of relevant grey and peer-reviewed
        literature. Two online focus groups (with 8 individuals each) and four online key informant
        interviews were conducted to add real-world perspectives from patient partners and people
        with expertise in relevant areas including data privacy, trust and Indigenous data
        sovereignty. Focus group and interview participants were identified based on previous
        engagements and working relationships with the study team. Honoraria were provided to
        patient partners. A health data glossary was developed from existing Canadian glossaries and
        two rounds of public review to accompany the paper.</p>
    </sec>
    <sec>
      <title>Results</title>
      <p>Through existing literature, underlined by feedback from focus groups/ interviews, we noted
        several well-developed principles associated with trust in primary and secondary uses of
        health data, including transparency and public benefit. Participants underscored the
        importance of distinguishing trust from related concepts (e.g., dependence) and highlighted
        that trust is not equal across sub-populations. Health data literacy was identified as one
        of several pre-conditions for earning public trust.</p>
      <p>Five emerging recommendations for trustworthy data practices emerged, including: 1) putting
        people at the centre – prioritizing ongoing, inclusive public engagement; 2) supporting
        Indigenous data sovereignty and reconciliation; 3) ensuring alignment with public benefit;
        4) using identified frameworks for health data sharing and use; and 5) creating transparent
        and ongoing methods of communications.</p>
    </sec>
    <sec>
      <title>Conclusion</title>
      <p>A common framework for earning public trust and enhancing health data literacy is essential
        for a consistent approach to policy development across Canada. This work aligns with
        priorities of Canadian governments, both informing a coordinated policy approach and serving
        as a public resource for understanding the Canadian health data landscape. </p>
    </sec>
  </body>
</article>