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    <responseDate>2026-10-13T06:18:58Z</responseDate>
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    <identifier>10.57760/sciencedb.37328</identifier>
    <datestamp>2026-05-15T11:24:22Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2026-05-15</dc:date>
  <dc:title>Research on the Effect of Human-Data Synergy on Corporate Breakthrough Innovation: Evidence from Patent Text Analysis-Research Data</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.37328</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This data is mainly used to explore the impact of human-data synergy on corporate breakthrough innovation, with A-share manufacturing listed companies from 2007 to 2022 as the research sample. The data content covers human-data synergy, breakthrough innovation, basic characteristics of enterprises, control variables, and related moderating variables. The data mainly comes from the China National Intellectual Property Administration, Innojoy database, CSMAR database, WIND database, etc.&amp;nbsp;</dc:description>
  <dc:subject>Human-data synergy; Breakthrough innovation; Patent text analysis; Strategic fit view</dc:subject>
  <dc:creator>Qin Jiaojiao</dc:creator>
  <dc:creator>Guo Aifang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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