Dataset Open Access

Reliance on Science in Patenting

Marx, Matt; Aaron Fuegi


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  <identifier identifierType="DOI">10.5281/zenodo.3633817</identifier>
  <creators>
    <creator>
      <creatorName>Marx, Matt</creatorName>
      <givenName>Matt</givenName>
      <familyName>Marx</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6173-4142</nameIdentifier>
      <affiliation>Boston University</affiliation>
    </creator>
    <creator>
      <creatorName>Aaron Fuegi</creatorName>
      <affiliation>Boston University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Reliance on Science in Patenting</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <subjects>
    <subject>innovation, patenting, science, citation</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2020-01-31</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3633817</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3236339</relatedIdentifier>
  </relatedIdentifiers>
  <version>v22</version>
  <rightsList>
    <rights rightsURI="https://opendatacommons.org/licenses/by/1.0/">Open Data Commons Attribution License v1.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset contains citations from worldwide&amp;nbsp;patents to scientific articles. &amp;nbsp;&lt;em&gt;If you use the data, please cite this paper&lt;/em&gt;&lt;strong&gt;: Marx, Matt and Aaron Fuegi, &amp;quot;Reliance on Science: Worldwide Front-Page Patent Citations to Scientific Articles&amp;quot; Forthcoming in &lt;em&gt;Strategic Management Journal&lt;/em&gt;. (&lt;a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686"&gt;https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686&lt;/a&gt;).&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;We link&amp;nbsp;to the Microsoft Academic Graph (&lt;strong&gt;_pcs_mag_bodytextbeta.tsv&lt;/strong&gt;), and PubMed (&lt;strong&gt;_pcs_pubmed_bodytextbeta.tsv&lt;/strong&gt;). Each linkage has the patent #, MAG ID or PMID,&amp;nbsp;applicant/examiner flag, confidence score&amp;nbsp;(1-10), and&amp;nbsp;whether the reference was a) only on the front page, b) only in the body text, or c) in both. The file&amp;nbsp;&lt;strong&gt;_data_description.pdf&lt;/strong&gt;&amp;nbsp;has full details.&lt;/p&gt;

&lt;p&gt;The remaining files redistribute the&amp;nbsp;&lt;a href="http://aka.ms/msracad"&gt;Microsoft Academic Graph&lt;/a&gt;, carved up into smaller files for convenience. If you use them, please cite the following article: Sinha, A, et al. 2015. Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW &amp;rsquo;15 Companion). ACM, New York, NY, USA, 243-246.&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;PubMed linkages are publicly available. MAG linkages are under an&amp;nbsp;Open Data Commons Attribution license (ODC-By), so&amp;nbsp;you can use them for anything&amp;nbsp;as long as you cite us.&lt;/li&gt;
	&lt;li&gt;Questions &amp;amp; feedback to &lt;a href="mailto:support@relianceonscience.org"&gt;support@relianceonscience.org&lt;/a&gt;&lt;em&gt;.&lt;/em&gt;&amp;nbsp;&lt;/li&gt;
	&lt;li&gt;Source code&amp;nbsp;is available at&amp;nbsp;&lt;a href="https://github.com/mattmarx/reliance_on_science"&gt;https://github.com/mattmarx/reliance_on_science&lt;/a&gt;.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;em&gt;All computation was performed on the Boston University Shared Computing Cluster.&lt;/em&gt;&lt;/p&gt;</description>
    <description descriptionType="Other">{"references": ["Marx, Matt and Aaron Fuegi, \"Reliance on Science in Patenting: USPTO Front-Page Citations to Scientific Articles\" (https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3331686)", "Sinha, Arnab, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June (Paul) Hsu, and Kuansan Wang. 2015. An Overview of Microsoft Academic Service (MAS) and Applications. In Proceedings of the 24th International Conference on World Wide Web (WWW '15 Companion). ACM, New York, NY, USA, 243-246"]}</description>
  </descriptions>
</resource>
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