Article Details

Abstract

Currently, the digital transformation of Traditional Chinese Medicine (TCM) faces obstacles such as multi-source data heterogeneity, complex property rights, and the absence of incentive mechanisms. This study introduces the concept of the Trusted Data Space (TDS) and proposes the TCM Trusted Data Space (TCM-TDS) architecture. Adhering to the principle of “physical dispersion and logical unification”, it constructs a “four-layer and two-wing” model comprising infrastructure, semantic adaptation, trusted computing, and an application ecosystem. The system leverages domain ontology and knowledge graphs to eliminate term ambiguity, achieving logical data isomorphism. By integrating privacy-preserving computation and blockchain to build a secure domain, it establishes a management mechanism separating data ownership from usage rights. Under the principle that “raw data does not leave the domain, data is available but invisible”, the system prevents the risks of privacy leakage and property rights loss, while enabling equitable distribution based on quantified contributions. This study provides a systematic framework for dismantling industry information silos, balances the contradiction between compliance governance and data value mining, and holds significant application value for building a highly credible, sustainable, and digitally intelligent TCM ecosystem.

Keywords

Traditional Chinese Medicine data; Trusted Data Space; multi-source heterogeneous; privacy computing; data governance

References

1. [1] The State Council Notice of the State Council on Issuing the "14th Five Year Plan" for the Development of Digital Economy [EB/OL]. (2022-01-12) [2022-04-04] https://www.gov.cn/zhengce/content/2022-01/12/content_5667817.htm.
2. [2] The General Office of the State Council Notice of the General Office of the State Council on Issuing the 14th Five Year Plan for the Development of Traditional Chinese Medicine [EB/OL]. (2022-03-29) [2026-01-31] https://www.gov.cn/zhengce/content/2022-03/29/content_5682255.htm.
3. [3] Qiao Zhen, Zhang Zhixin The Position and Function of Data Elements in the Development of New Quality Productivity [J]. Journal of Soochow University (Philosophy and Social Sciences Edition), 2024, 45 (6): 126-134
4. [4] Gerlach B，Hesse H，Fischer S，et al. Gaia-X-Med: Experiences with Building Dataspaces for Medical Applications [J/OL].Future Internet，2024，16（12）：463.https://doi.org/10.3390/fi16120463.
5. [5] Liu Yang, Hu Xuexian, Zhou Gang, etc Medical Data Sharing Model Based on Multi level Blockchain [J]. Computer Application Research, 2022, 39 (5): 1307-1312318
6. [6] Ankai Empowering High Quality Development of Traditional Chinese Medicine with Data Elements: Mechanisms and Strategic Suggestions [J]. Sustainable Development, 2025, 15 (7): 143-151
7. [7] Wang Song, Li Zhengjun, Yang Tao, etc Research Status and Development Trends of Traditional Chinese Medicine Knowledge Graph [J]. Journal of Nanjing University of Traditional Chinese Medicine, 2022, 38 (3): 272-278
8. [8] Gao Lina, Li Xiangjun, Song Huiyong Empowering Traditional Chinese Medicine with Digital Intelligence to Form New Quality Productivity: Internal Mechanisms and Practical Paths [J]. Health Economics Research, 2025, 42 (1): 19-22, 28
9. [9] National Data Standardization Technical Committee Notice on the release of the technical document "Trusted Data Space Technology Architecture" [EB/OL]. (2022-04-30) [2026-04-04] https://www.tc609.org.cn/tc609/tzgg/202504/112cf6a0d21740368558eb021984afa0.shtml.
10. [10] Lu Chengshuang, Lou Buqing, Zeng Yuping, etc Research on Innovative Strategies for Inheriting Traditional Chinese Medicine Data Elements under the Framework of Federated Learning [J]. China Health Service Management, 2025, 42 (1): 96-100
11. [11] Bai Wenbin Research on Multi source Heterogeneous Data Fusion Management Technology and Its Application in Traditional Chinese Medicine Clinical Practice [D]. Wuhan: Hubei University of Traditional Chinese Medicine, 2024
12. [12] Zhen Qian, Zhu Rong, Wang Zhongrui, etc The core issues and solutions of data-driven research on the rules of traditional Chinese medicine diagnosis and treatment [J]. Chinese Journal of General Practice, 2024, 27 (32): 4029-40324039
13. [13] Gu Xiaohong, Yu He The Problems and Strategies of Inheriting and Innovating the Experience of Famous Traditional Chinese Medicine Practitioners [J]. Journal of Beijing University of Traditional Chinese Medicine, 2022, 45 (9): 919-924
14. [14] Wang Zhiyong, Wu Cheng, Wang Lipeng, etc Data Governance and Quality Supervision in the Context of Medical Big Data [J]. China Digital Medicine, 2021, 16 (4): 92-96
15. [15] Liao Zirui, Tian Xueqing, Guan Tianjia, etc Exploration of third-party organizations participating in the sharing mode of health and medical big data [J]. China Public Health, 2021, 37 (7): 1173-1176
16. [16] Chen Jiali, Ma Ziqiang, Lan Yajie, etc A review of research on medical information sharing based on blockchain technology [J]. Computer Application Research, 2024, 41 (9): 2573-2584
17. [17] Liu Mingda, Chen Zuoning, Shi Yijuan, etc Research progress of blockchain in the field of data security [J]. Journal of Computer Science, 2021, 44 (1): 1-27
18. [18] China Electronics Standardization Institute White Paper on Standardization of Data Element Circulation (2022 Edition) [EB/OL]. (2023-01-05) [2026-01-10] http://www.cesi.cn/202301/9082.html.
19. [19] Yu Tong, Cui Meng, Li Haiyan, etc Semantic Network Framework of Traditional Chinese Medicine Language System: A Standardized Top Level Ontology for the Field of Traditional Chinese Medicine [J]. China Digital Medicine, 2014, 9 (1): 44-47
20. [20] Zheng Z Q，Liu Y G，Zhang Y，et al. TCMKG: A Deep Learning Based Traditional Chinese Medicine Knowledge Graph Platform [C]//2020 IEEE International Conference on Knowledge Graph (ICKG)，2020：560-564.
21. [21] Luo Chun, Gao Shaolin, Huang He Design of Data Compliance and Trustworthy Circulation Mechanism [J]. Information Security Research, 2023, 9 (7): 618-623
22. [22] Otto B，Ten H M T，Wrobel S. Designing Data Spaces: The Ecosystem Approach to Competitive Advantage [M].Berlin：Springer Nature，2022.
23. Peng Shaoliang, Bai Liang, Wang Li, etc Trusted edge computing for Smart Medicine [J]. Telecom Science, 2020, 36 (6): 56-63
24. Yao Yuanyuan, Cui Meng Application of Ontology based Semantic Networks in the Field of Traditional Chinese Medicine [J]. International Journal of Traditional Chinese Medicine, 2013, 35 (7): 663-665
25. [25] Ma Bin, Wang Jinhong, Yan Juanjuan, etc Design and Research of Intelligent Semantic Retrieval Model Based on Ontology [J]. Information Science, 2015, 33 (2): 46-49, 71
26. [26] Zeng Ziling, Zhang Huamin, Yu Tong, etc A review of the research and application of knowledge graph and its key technologies in the field of traditional Chinese medicine [J]. World Science and Technology - Modernization of Traditional Chinese Medicine, 2022, 24 (2): 780-788
27. [27] Zhong Ziyue, Zhu Changhao, Li Junzhe, etc Overview of Trusted Circulation Technology for Data Elements Based on Blockchain [J]. Frontiers of Data and Computing Development, 2023, 5 (5): 46-62
28. [28] Li Dantong, Ji Hong Analysis and Reflection on the Application Status of Blockchain in the Medical Field [J]. China Digital Medicine, 2025, 20 (5): 1-7
29. [29] Zhang Zedan, Wang Bin, Chen Ting, etc Research and Design of an Integrated Data Sharing Platform for Clinical Research in Traditional Chinese Medicine Digestive Field Based on Blockchain [J]. Chinese Journal of Traditional Chinese Medicine, 2024, 42 (6): 29-33265
30. [30] Xie Yunfei, Jia Lirong Research progress on the construction technology and application of traditional Chinese medicine knowledge graph [J]. China Medical News, 2024, 21 (20): 62-66
31. [31] Gupta R，Tanwar S，Al-Turjman F，et al. Smart Contract Privacy Protection Using AI in Cyber-Physical Systems: Tools, Techniques and Challenges [J].IEEE Access，2020，8：24746-24772.

Funding

Research Project on the Application of Cryptography Technology in Digital Education Scenarios in Higher Education Institutions by the Science Research and Development Center of the Ministry of Education (2024MU007); Research Project on the Construction of Trusted Data Space in the Medical Field by Sichuan Health Information Society (2025013)

About the authors

Huang Yutong (2004-), female, Han ethnicity, from Zigong, Sichuan, undergraduate student, research interests include informatization of traditional Chinese medicine and trusted data spaces; Chen Weixiang (1995-), male, Han ethnicity, from Chengdu, Sichuan, laboratory technician, master's student, research interests include big data management and applications; Li Xiangfeng (1975-), male, Han ethnicity, from Shijiazhuang, Hebei, senior engineer, bachelor's degree, research interests include cryptographic techniques, public key infrastructure (PKI) and digital signatures and data security; Corresponding author: Gao Yuan (1984-), male, Han ethnicity, from Taiyuan, Shanxi, associate professor, deputy director, master's student, research interests include medical informatics and network security.