STInt: An integrated dataset covering science, technology and industry information in the pharmaceutical field

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.

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Publication Details

Journal
Scientific Data
Published
2025-06-21
DOI
https://doi.org/10.1038/s41597-025-05388-9
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50

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article

STInt: An integrated dataset covering science, technology and industry information in the pharmaceutical field

Xin An, Shuo Xu, Zhen Liu
1 citations
Scientific Data
Computational Drug Discovery Methods
1.50
article

STInt: An integrated dataset covering science, technology and industry information in the pharmaceutical field

Xin An, Shuo Xu, Zhen Liu
article en
1 citations

Abstract

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.

Scientific DataVol. 12(1)
Beijing Forestry University (CN), Beijing University of Technology (CN)
National Natural Science Foundation of China
Industry, innovation and infrastructure
Openalex Percentile: Top 16%
Computational Drug Discovery Methods
1.50
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STInt: An integrated dataset covering science, technology and industry information in the pharmaceutical field — Xin An, Shuo Xu, et al. · Scientific Data (2025) | TGRS Research Map | TGRS