<?xml version='1.0' encoding='utf-8'?>
<eprints xmlns='http://eprints.org/ep2/data/2.0'>
  <eprint id='https://researchdata.gla.ac.uk/id/eprint/2151'>
    <eprintid>2151</eprintid>
    <rev_number>19</rev_number>
    <documents>
      <document id='https://researchdata.gla.ac.uk/id/document/7398'>
        <docid>7398</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/44618'>
            <fileid>44618</fileid>
            <datasetid>document</datasetid>
            <objectid>7398</objectid>
            <filename>2151_ Priority_Family_Groups_Dataset.xlsx</filename>
            <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
            <hash>bf5cf4cf592e3adec8701b743e6fc8f2</hash>
            <hash_type>MD5</hash_type>
            <filesize>119386</filesize>
            <mtime>2026-01-29 13:06:53</mtime>
            <url>https://researchdata.gla.ac.uk/2151/1/2151_%20Priority_Family_Groups_Dataset.xlsx</url>
          </file>
        </files>
        <eprintid>2151</eprintid>
        <pos>1</pos>
        <placement>1</placement>
        <mime_type>application/vnd.openxmlformats-officedocument.spreadsheetml.sheet</mime_type>
        <format>Spreadsheet</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>2151_ Priority_Family_Groups_Dataset.xlsx</main>
        <content>documentation</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/7399'>
        <docid>7399</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/44620'>
            <fileid>44620</fileid>
            <datasetid>document</datasetid>
            <objectid>7399</objectid>
            <filename>2151_Priority_family_groups_dataset_technical report.pdf</filename>
            <mime_type>application/pdf</mime_type>
            <hash>35a32e216e82650040ca5f75be80b0d5</hash>
            <hash_type>MD5</hash_type>
            <filesize>972141</filesize>
            <mtime>2026-01-29 13:07:05</mtime>
            <url>https://researchdata.gla.ac.uk/2151/2/2151_Priority_family_groups_dataset_technical%20report.pdf</url>
          </file>
        </files>
        <eprintid>2151</eprintid>
        <pos>2</pos>
        <placement>2</placement>
        <mime_type>application/pdf</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>2151_Priority_family_groups_dataset_technical report.pdf</main>
        <content>documentation</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/7404'>
        <docid>7404</docid>
        <rev_number>2</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/44662'>
            <fileid>44662</fileid>
            <datasetid>document</datasetid>
            <objectid>7404</objectid>
            <filename>Readme_2151.docx</filename>
            <mime_type>application/vnd.openxmlformats-officedocument.wordprocessingml.document</mime_type>
            <hash>34f13699dd074cf9ea0df597554849ab</hash>
            <hash_type>MD5</hash_type>
            <filesize>57161</filesize>
            <mtime>2026-02-03 14:30:35</mtime>
            <url>https://researchdata.gla.ac.uk/2151/3/Readme_2151.docx</url>
          </file>
        </files>
        <eprintid>2151</eprintid>
        <pos>3</pos>
        <placement>3</placement>
        <mime_type>application/vnd.openxmlformats-officedocument.wordprocessingml.document</mime_type>
        <format>Text</format>
        <language>en</language>
        <security>public</security>
        <license>cc_by_4</license>
        <main>Readme_2151.docx</main>
        <content>readme</content>
      </document>
      <document id='https://researchdata.gla.ac.uk/id/document/7406'>
        <docid>7406</docid>
        <rev_number>1</rev_number>
        <files>
          <file id='https://researchdata.gla.ac.uk/id/file/44667'>
            <fileid>44667</fileid>
            <datasetid>document</datasetid>
            <objectid>7406</objectid>
            <filename>indexcodes.txt</filename>
            <mime_type>text/plain</mime_type>
            <hash>6543037a9d1a4c1490944f2951345be1</hash>
            <hash_type>MD5</hash_type>
            <filesize>934</filesize>
            <mtime>2026-02-03 14:40:56</mtime>
            <url>https://researchdata.gla.ac.uk/2151/4/indexcodes.txt</url>
          </file>
        </files>
        <eprintid>2151</eprintid>
        <pos>4</pos>
        <placement>4</placement>
        <mime_type>text/plain</mime_type>
        <format>other</format>
        <formatdesc>Generate index codes conversion from Text to indexcodes</formatdesc>
        <language>en</language>
        <security>public</security>
        <main>indexcodes.txt</main>
        <relation>
          <item>
            <type>http://eprints.org/relation/isVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/7404</uri>
          </item>
          <item>
            <type>http://eprints.org/relation/isVolatileVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/7404</uri>
          </item>
          <item>
            <type>http://eprints.org/relation/isIndexCodesVersionOf</type>
            <uri>https://researchdata.gla.ac.uk/id/document/7404</uri>
          </item>
        </relation>
      </document>
    </documents>
    <eprint_status>archive</eprint_status>
    <userid>32968</userid>
    <dir>disk0/00/00/21/51</dir>
    <datestamp>2026-02-03 14:52:44</datestamp>
    <lastmod>2026-02-04 11:06:40</lastmod>
    <status_changed>2026-02-03 14:52:44</status_changed>
    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Pearce</family>
          <given>Anna</given>
        </name>
        <enlightenid>39556</enlightenid>
        <orcid>0000-0003-0085-5263</orcid>
      </item>
      <item>
        <name>
          <family>Kromydas</family>
          <given>Theocharis</given>
        </name>
        <enlightenid>33248</enlightenid>
        <orcid>0000-0002-2470-5940</orcid>
      </item>
      <item>
        <name>
          <family>Hazle</family>
          <given>David</given>
        </name>
      </item>
      <item>
        <name>
          <family>Dundas</family>
          <given>Ruth</given>
        </name>
        <enlightenid>12309</enlightenid>
        <orcid>0000-0002-3836-4286</orcid>
      </item>
    </creators>
    <uniqueid>glaresearchdata:2026-01-22-2151</uniqueid>
    <title>The Scottish Priority Family Groups Dataset</title>
    <ispublished>pub</ispublished>
    <divisions>
      <item>25605000</item>
    </divisions>
    <abstract>An ecological (ward-level) dataset, produced to help improve local understanding of the six Priority Family Groups identified by Scottish Government as being at greatest risk of experiencing child poverty: lone parent families, young mothers, large families, ethnic minority families, families where someone is living with a disability, and families with an infant. The dataset brings together publicly available Census 2022 data*, to provide estimated numbers and percentages of children/families for each priority family group, as well as national rankings and population-weighted deciles. 

*Scotland Census 2022 data are used in accordance with the relevant Open Government Licence. 
The Information Provider and/or Licensor are not liable for any errors or omissions in the Information and shall not be liable for any loss, injury or damage of any kind caused by its use. The Information Provider does not guarantee the continued supply of the Information.</abstract>
    <date>2026-01-22</date>
    <date_type>published</date_type>
    <publisher>University of Glasgow</publisher>
    <id_number>10.5525/gla.researchdata.2151</id_number>
    <data_type>
      <item>Spreadsheet</item>
      <item>Text</item>
    </data_type>
    <funding>
      <item>
        <project_code>322219</project_code>
        <project_name>Identifying the most effective child poverty reduction policies for improving child and maternal health and reducing health inequalities</project_name>
        <investigator_name>Anna Pearce</investigator_name>
        <funder_name>National Institute for Health Research (NIHR)</funder_name>
        <funder_code>NIHR303651</funder_code>
        <investigator_dept>SHW - MRC/CSO Social &amp; Public Health Sciences Unit</investigator_dept>
      </item>
    </funding>
    <pending>TRUE</pending>
    <language>English</language>
    <temporal_cover>
      <date_from>2022</date_from>
      <date_to>2022</date_to>
    </temporal_cover>
    <retention_date>2036-01-22</retention_date>
    <retention_action>R</retention_action>
    <dataset_origin>
      <item>email</item>
    </dataset_origin>
    <ingest_data>
      <item>
      </item>
      <item>
      </item>
    </ingest_data>
    <archive_data>
      <item>
      </item>
      <item>
      </item>
    </archive_data>
    <ethics_consent_required>FALSE</ethics_consent_required>
    <request_copy>FALSE</request_copy>
  </eprint>
</eprints>
