October 15, 2019 Dataset Open Access

Tobias Weber

Dublin Core Export

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  <dc:creator>Tobias Weber</dc:creator>
  <dc:date>2019-10-15</dc:date>
  <dc:description>Automated classification of metadata of research data by their discipline(s) of research can be used in scientometric research, by repository service providers, and in the context of research data aggregation services. Openly available metadata of the DataCite index for research data were used to compile a large training and evaluation set comprised of 609,524 records. This is the cleaned and vectorized version with a feature selection of large size.</dc:description>
  <dc:identifier>https://zenodo.org/record/3490460</dc:identifier>
  <dc:identifier>10.5281/zenodo.3490460</dc:identifier>
  <dc:identifier>oai:zenodo.org:3490460</dc:identifier>
  <dc:relation>doi:10.5281/zenodo.3490329</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3490459</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>research data</dc:subject>
  <dc:subject>disciplines of research</dc:subject>
  <dc:subject>supervised machine learning</dc:subject>
  <dc:subject>multi-label classification</dc:subject>
  <dc:subject>text processing</dc:subject>
  <dc:subject>data science</dc:subject>
  <dc:subject>004 Data processing &amp; computer science</dc:subject>
  <dc:subject>020 Library &amp; information sciences</dc:subject>
  <dc:title>l-sized Training and Evaluation  Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Field of Study"</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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