Dataset Open Access

Statistics and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research"

Tobias Weber; Michael Fromm; Nelson Tavares de Sousa


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">supervised machine learning</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">multi-label classification</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">research data</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">text processing</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">data science</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">disciplines of research</subfield>
  </datafield>
  <controlfield tag="005">20191101071024.0</controlfield>
  <controlfield tag="001">3490468</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Database Systems Group, Ludwig-Maximilians-Universität München</subfield>
    <subfield code="0">(orcid)0000-0002-7244-4191</subfield>
    <subfield code="a">Michael Fromm</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Software Engineering Group, Kiel University</subfield>
    <subfield code="0">(orcid)0000-0003-1866-7156</subfield>
    <subfield code="a">Nelson Tavares de Sousa</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">91409</subfield>
    <subfield code="z">md5:e93b229739ae7f646dbeed16233cdc9b</subfield>
    <subfield code="u">https://zenodo.org/record/3490468/files/paper_data.tar.gz</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019-10-15</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">user-zenodo</subfield>
    <subfield code="o">oai:zenodo.org:3490468</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Leibniz Supercomputing Centre</subfield>
    <subfield code="0">(orcid)0000-0003-1815-7041</subfield>
    <subfield code="a">Tobias Weber</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Statistics and Evaluation Data for Publication "Using Supervised Learning to Classify Metadata of Research Data by Discipline of Research"</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-zenodo</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">http://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2=" ">
    <subfield code="a">004 Data processing &amp; computer science</subfield>
    <subfield code="0">(url)https://dewey.info/</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2=" ">
    <subfield code="a">020 Library &amp; information sciences</subfield>
    <subfield code="0">(url)https://dewey.info/</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;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 publication contains aggregated data for the paper. It also contains the evaluation data of all model/hyper-parameter training and test runs.&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3490467</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3490468</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
</record>
544
77
views
downloads
All versions This version
Views 544544
Downloads 7778
Data volume 7.0 MB7.1 MB
Unique views 432432
Unique downloads 7374

Share

Cite as