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PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science

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科学数据银行2025-07-19 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=47da4ac08e9540889a33fbdd3ebf26ce
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资源简介:
Papers, patents, and clinical trials are indispensable types of scientific literature in biomedicine, crucial for knowledge sharing and dissemination. However, these documents are often stored in disparate databases with varying management standards and data formats, making it challenging to form systematic, fine-grained connections among them. To address this issue, we introduce PKG 2.0, a comprehensive knowledge graph dataset encompassing over 36 million papers, 1.3 million patents, and 0.48 million clinical trials in the biomedical field. PKG 2.0 integrates these previously dispersed resources through various links, including biomedical entities, author networks, citation relationships, and research projects.For more details, please refer to our paper or dataset homepage:Paper: Xu, J., Yu, C., Xu, J. et al. PubMed knowledge graph 2.0: Connecting papers, patents, and clinical trials in biomedical science. Sci Data ​​12​​, 1018 (2025). https://doi.org/10.1038/s41597-025-05343-8Homepage: https://pubmedkg.github.io/Updates:[Jul 20, 2025] The PKG dataset has been updated to PKG24S4 based on the PubMed 2025 Baseline. Meanwhile, data from other sources integrated in the dataset have also been updated correspondingly to ensure the timeliness and consistency of the overall data.
提供机构:
Department of Library and Information Science, Yonsei University, Seoul, South Korea; Jiawei Xu; Jaewoo Kang; School of Information, University of Texas at Austin, Austin, TX, USA; School of Information Management, Sun Yat-sen University, Guangzhou, China; Vetle I. Torvik; Department of Information Management, Peking University, Beijing, China; Dell Medical School, University of Texas at Austin, Austin, TX, USA; Mujeen Sung
创建时间:
2025-06-18
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