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    <identifier>10.57760/sciencedb.j00289.00463</identifier>
    <datestamp>2026-08-17T11:20:27Z</datestamp>
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  <dc:date>2026-08-17</dc:date>
  <dc:title>Raw and calibrated dataset of the study &amp;ldquo;Balancing Openness and Protection in Innovation of AI Companies: Multi-dimensional Contexts and Configuration Patterns&amp;rdquo;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00289.00463</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset is panel data of representative Chinese artificial intelligence companies listed on the Shanghai and Shenzhen stock markets from 2021 to 2024. The samples are from the Tonghuashun AI concept stock listed company list and the AI50 concept listed company list. The data comes from Peking University Treasure, Oriental Fortune, IncoPat database, Guotai An database, and Huike Chinese media consulting and business intelligence database, etc., compiled by the author.&amp;nbsp;</dc:description>
  <dc:subject>AI companies; innovation; panel data</dc:subject>
  <dc:creator>Wu Xueyang</dc:creator>
  <dc:creator>Meng Qingliang</dc:creator>
  <dc:creator>Sun Jiajun</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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