Xu Shuo, Liu Zhen, An Xin
Beijing University of Technology, Beijing, 100124, P.R. China.
Beijing Forestry University, Beijing, 100083, P.R. China.
Sci Data. 2025 Jun 21;12(1):1056. doi: 10.1038/s41597-025-05388-9.
With the rapid development of the economy, the linkages among science, technology, and industry have become increasingly close, and more and more study focus on the binary or ternary interactions among the three. However, the different datasets and fields used in previous studies make it difficult to directly compare and synthesize research results. This further affects the comprehensive understanding of the binary and ternary interactions among science, technology, and industry. Therefore, this paper constructs a multi-source integrated dataset covering science, technology, and industry information based on the DrugBank database. Our dataset is named as STInt (Science-Technology-Industry interactions), which covers document entities, researcher entities, organization entities, and classification entities, and contains rich semantic relationships among them. In addition, STInt is freely available at Figshare, and stored as a MySQL database and make it openly available on GitHub. Our STInt dataset will be useful for conducting research on the binary or ternary linkages among science, technology, and industry, and for gaining a deeper understanding of the developmental patterns in the pharmaceutical field.
随着经济的快速发展,科学、技术和产业之间的联系日益紧密,越来越多的研究聚焦于三者之间的二元或三元互动。然而,以往研究中使用的不同数据集和领域使得难以直接比较和综合研究结果。这进一步影响了对科学、技术和产业之间二元及三元互动的全面理解。因此,本文基于DrugBank数据库构建了一个涵盖科学、技术和产业信息的多源集成数据集。我们的数据集名为STInt(科学-技术-产业互动),涵盖文献实体、研究人员实体、组织实体和分类实体,并包含它们之间丰富的语义关系。此外,STInt可在Figshare上免费获取,并作为MySQL数据库存储,且在GitHub上公开可用。我们的STInt数据集将有助于开展关于科学、技术和产业之间二元或三元联系的研究,并有助于更深入地理解制药领域的发展模式。