<codeBook xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema" xsi:schemaLocation="ddi:codebook:2_5 http://www.ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" xmlns="ddi:codebook:2_5">
  <docDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">Dataset for "Do LiU researchers publish data – and where? Dataset analysis using ODDPub"</parTitl>
        <IDNo agency="SND">doi-10-5281-zenodo-15017715-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5281/zenodo.15017715</IDNo>
      </titlStmt>
      <prodStmt>
        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
      </prodStmt>
      <holdings URI="https://doi.org/10.5281/zenodo.15017715">Landing page</holdings>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv"></titl>
        <parTitl xml:lang="en">Dataset for "Do LiU researchers publish data – and where? Dataset analysis using ODDPub"</parTitl>
        <IDNo agency="SND">doi-10-5281-zenodo-15017715-0</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5281/zenodo.15017715</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Linköping University">Hoshi Larsson, Kaori</AuthEnty>
      </rspStmt>
      <prodStmt />
      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2025-03-18" />
      </distStmt>
      <verStmt>
        <version elementVersion="0" elementVersionDate="2025-03-18" />
      </verStmt>
      <holdings URI="https://doi.org/10.5281/zenodo.15017715">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject />
      <abstract xml:lang="en" contentType="abstract">This dataset contains the results from the ODDPubb text mining algorithm and the findings from manual analysis. Full-text PDFs of all articles parallel-published by Linköping University in 2022 were extracted from the institute's repository, DiVA. These were analyzed using the ODDPubb (https://github.com/quest-bih/oddpub) text mining algorithm to determine the extent of data sharing and identify the repositories where the data was shared. In addition to the results from ODDPubb, manual analysis was conducted to confirm the presence of data sharing statements, assess data availability, and identify the repositories used.</abstract>
      <sumDscr />
    </stdyInfo>
    <method>
      <dataColl />
    </method>
    <dataAccs>
      <useStmt>
        <restrctn xml:lang="en">Access to data through an external actor. Data are freely accessible.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via extern aktör. Data är fritt tillgängliga.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">openAccess</conditions>
      </useStmt>
    </dataAccs>
    <othrStdyMat />
  </stdyDscr>
</codeBook>