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    <datestamp>2018-10-05 09:57:23</datestamp>
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    <type>data_collection</type>
    <metadata_visibility>show</metadata_visibility>
    <creators>
      <item>
        <name>
          <family>Mulhall</family>
          <given>Rachel</given>
        </name>
        <id>r.mulhall@bham.ac.uk</id>
      </item>
      <item>
        <name>
          <family>Leach</family>
          <given>Joanne M</given>
        </name>
        <id>J.Leach@bham.ac.uk</id>
        <orcid>0000-0001-7526-624X</orcid>
      </item>
    </creators>
    <corp_creators>
      <item>Birmingham City Council</item>
      <item>Birmingham City University</item>
      <item>Aston University</item>
      <item>University of Warwick</item>
      <item>Northumbria University</item>
    </corp_creators>
    <title>Birmingham Services Data Mapping Dataset</title>
    <divisions>
      <item>10col_life</item>
    </divisions>
    <keywords>Birmingham, Birmingham UK, City, City Services, Data, Data Mapping</keywords>
    <abstract>This spreadsheet contains variables extracted from datasets about the city of Birmingham, UK, that were used in a Principal Components Analysis (PCA). Datasets were selected based upon the following criteria:
1. Spatial resolution of the city of Birmingham UK (NUTS3, UKG31, Local authority administration level) or lower.
2. Are relevant to the delivery of the city&apos;s services, with particular attention paid to those services delivered in all or part by Birmingham City Council (either directly or indirectly by a third party).
3. Information is a dataset (containing more than a single information point).
4. Currently applicable time period (or ongoing data collection) (2010 onwards).

This spreadsheet has been prepared by Rachel Mulhall and Joanne Leach, r.a.mulhall@bham.ac.uk; j.leach@bham.ac.uk, City-REDI, University of Birmingham, Edgbaston, Birmingham, B15 2TT.

The spreadsheet has been prepared as part of the EPSRC-funded Urban Living Birmingham (ULB) research project, grant number EP/P002021/1, http://gow.epsrc.ac.uk/NGBOViewGrant.aspx?GrantRef=EP/P002021/1.</abstract>
    <date>2016-12-31</date>
    <date_type>completed</date_type>
    <publisher>University of Birmingham</publisher>
    <id_number>10.25500/eData.bham.00000241</id_number>
    <data_type>Dataset</data_type>
    <contact_email>research-data@contacts.bham.ac.uk</contact_email>
    <department>
      <item>Business School</item>
      <item>Department of Civil Engineering</item>
    </department>
    <funders>
      <item>epsrc</item>
    </funders>
    <projects>
      <item>Urban Living Birmingham</item>
    </projects>
    <data_protection_legislation>yes</data_protection_legislation>
    <funder_reqs>yes</funder_reqs>
    <contractual_reqs>yes</contractual_reqs>
    <university_reqs>TRUE</university_reqs>
    <contact_details>
      <role>Researcher and Project Manager</role>
      <name>
        <family>Leach</family>
        <given>Joanne M</given>
      </name>
      <id>j.leach@bham.ac.uk</id>
    </contact_details>
    <related_res_rich>
      <item>
        <title>Reading Cities: Developing an Urban Diagnostics Approach for Identifying Integrated Urban Problems with Application to the City of Birmingham, UK</title>
        <res_type>pub</res_type>
        <rel_type>IsDescribedBy</rel_type>
      </item>
    </related_res_rich>
    <collection_method>58 variables identified from 258 datasets that met the following criteria were included:
1. Spatial resolution of the city of Birmingham UK (NUTS3, UKG31, Local authority administration level) or lower.
2. Are relevant to the delivery of the city&apos;s services, with particular attention paid to those services delivered in all or part by Birmingham City Council (either directly or indicrectly by a third party).
3. Currently applicable time period (or ongoing data collection) (2010 onwards)</collection_method>
    <language>en</language>
    <collection_date>
      <date_from>2016-07-01</date_from>
      <date_to>2016-12-31</date_to>
    </collection_date>
    <temporal_cover>
      <date_from>2010-01-01</date_from>
      <date_to>2016-12-31</date_to>
    </temporal_cover>
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