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    <datestamp>2020-04-15 08:18:26</datestamp>
    <lastmod>2024-05-14 13:11:40</lastmod>
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        <name>
          <family>Khan</family>
          <given>Nushrat</given>
        </name>
        <id>n.j.khan@bath.ac.uk</id>
        <orcid>0000-0002-4521-0920</orcid>
        <affiliation>University of Bath</affiliation>
        <contact>TRUE</contact>
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    </creators>
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      <item>
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        <name>
          <family>Pink</family>
          <given>Catherine</given>
        </name>
        <id>bs3cjp@bath.ac.uk</id>
        <orcid>0000-0002-9752-6388</orcid>
        <affiliation>University of Bath</affiliation>
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    <title>Dataset for &quot;Identifying Data Sharing and Reuse with Scholix – Potentials and Limitations&quot;</title>
    <subjects>
      <item>FM0020</item>
      <item>FM0040</item>
      <item>FM0050</item>
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      <item>library_and_learn</item>
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    <keywords>Scholix, Scholexplorer, Research data, Data repositories, Data reuse</keywords>
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    <date>2020-04-10</date>
    <publisher>University of Bath</publisher>
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        <funder_id>https://doi.org/10.13039/501100000835</funder_id>
      </item>
    </funding>
    <collection_method>To find any links between University of Bath research output and datasets published in external archives, DOIs of University of Bath research outputs were collected from the Pure system. A set of Python code was developed to test the Scholix API for this purpose. The code was then used to collect data from the API.
The zip file with codes includes instructions for using the code in a README.md file.</collection_method>
    <provenance>Statistical programming language R was used for data analysis and visualization.</provenance>
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    <language>en</language>
    <version>1</version>
    <doi>10.15125/BATH-00739</doi>
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        <link>https://doi.org/10.1016/j.patter.2020.100007</link>
        <type>pub</type>
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