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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">1832</journal-id>
      <journal-title-group>
        <journal-title>Journal of Cultural Analytics</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2371-4549</issn>
      <publisher>
        <publisher-name>Center for Digital Humanities, Princeton University</publisher-name>
      </publisher>
      <self-uri xlink:href="https://culturalanalytics.org/">Website: Journal of Cultural Analytics</self-uri>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">11043</article-id>
      <article-id pub-id-type="doi">10.22148/16.041</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Data Set Failures and Intersectional Data</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Stevens</surname>
            <given-names>Nikki</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2019-06-12">
        <day>12</day>
        <month>6</month>
        <year>2019</year>
      </pub-date>
      <pub-date publication-format="electronic" date-type="collection" iso-8601-date="2020-08-04">
        <year>2019</year>
      </pub-date>
      <volume>4</volume>
      <issue seq="1">1</issue>
      <issue-title>Data Cultures, Culture as Data</issue-title>
      <elocation-id>11043</elocation-id>
      <permissions>
        <license license-type="open-access">
          <ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">
              http://creativecommons.org/licenses/by/4.0
            </ali:license_ref>
          <license-p>
              This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0">Creative Commons Attribution License (4.0)</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
            </license-p>
        </license>
      </permissions>
      <self-uri content-type="pdf" xlink:href="https://culturalanalytics.org/article/11043.pdf"/>
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      <abstract>
        <p>In 2016, a software developer named David and I met to discuss creating a quan- titative demographic survey of the open source software community to which we were both long-time contributors. David and I did not know each other well, but shared a belief that our open source community (OSC, hereafter) was an un- safe place for anyone who did not identify as white, cisgendered, heterosexual and male. That lack of safety was further complicated by any one individual’s distance from privileged modes of contribution.</p>
      </abstract>
      <kwd-group>
        <kwd>theory</kwd>
        <kwd>critical data studies</kwd>
        <kwd>race</kwd>
        <kwd>gender</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
