The Selection of Models and Institutional Construction for Fiduciary Duties of Data Trustee
https://doi.org/10.17803/2587-9723.2025.8.021-026
Abstract
As an institutional innovation emerging from the interplay between data protection and trust mechanisms, data trust demonstrates significant potential in the big data era while simultaneously challenging traditional fiduciary duty frameworks. There are two models of data trust: the U.S. “information fiduciary theory” model and the UK’s “data trust” model. China could adopt a hybrid operational model for data trust, where the trustor and trustee establish a data trust relationship through a trust agreement. The trust company acts as the trustee to fulfill fiduciary duties, while public regulatory authorities oversee data trust operations. Under this model, the trust company and data users are the primary entities responsible for fulfilling fiduciary duties.
In addition to duties of loyalty and care, fiduciary duties should also include the obligation to ensure the security of the trustor’s data while promoting the full circulation of data to realize its value as an asset. When a data trust institution breaches its fiduciary duties, the burden of proof shall shift to the trustee, and the doctrine of presumed liability shall apply. Additionally, a dedicated regulatory authority shall establish licensing requirements for data trust institutions.
About the Authors
Qishun DuChina
Du Qishun, Doctor of Law, Associate Professor
Kaifeng
Yuhan Dai
China
Dai Yuhan, Researcher
Kaifeng
References
1. Balkin J. M. Information Fiduciaries and the First Amendment // UC Davis Law Review. — 2016.
2. Ding Xiao-Dong. On the Legal Protection of Enterprise Data Rights: An Analysis Based on the Legal Nature of Data // Legal Science (Journal of Northwest University of Political Science and Law). — 2020. — №2.
3. Feng Guo, Yan Hao-Yu. Theoretical Interpretation and Institutional Approach to Fiduciary Duties of Data Trustees // Finance and Law. — 2024. — № 2.
4. Li Zhi, Yao Tian-Tian. The Regulation of Trustee’s Fiduciary Duty in Data Trust Model// Academic Exchange.— 2022. — № 2.
5. Li Zhi, Zhou Zhi-Hao. The Development Dilemma and Institutional Design of Personal Data Trust// Academic Exchange. — 2024. — № 8.
6. Lu Da. A Study on the Jurisprudential Interpretation, Generative Logic, and Institutional Construction of Personal Data Trust // Credit Reference. — 2025. — № 1.
7. Richards N. M., Hartzog W. Taking Trust Seriously in Privacy Law// Stanford Technology Law Review.— 2019.
8. Tian Ao-Ni. Third-party Data Trust: The Dilemma and Solution of Data Controllers’ Obligations // Library Tribune. —2022. — № 8.
9. Wang Li-Ming. Civil Law Protection of Data // Digital Law. — 2023. — №1.
10. Xi Yue-Min. Data Security: The Purpose of Data Trust and Its Realization Mechanism // Law Science Magazine. — 2021. — № 9.
11. Xie Zheng-Shan. Data Privacy Protection in the Data-Driven Era: From Individual Control to Fiduciary Duty of Data Controllers // Studies in Law and Business. — 2020. — №2.
12. Xing Hui-Qiang. Theoretical Challenges to the Fiduciary Duty of Data Controllers // Law and Social Development. — 2021. — № 4.
13. Yang Li-Xin. Civil Liability for Infringement of Personal Information Rights by Personal Information Processors // Journal of National Prosecutors College. — 2021. — №5.
14. Zhai Zhi-Yong. On Data Trust: A New Approach to Data Governance // Oriental Law. — 2021. — №4.
15. Zhou Han-Hua. The Legal Orientation of Personal Information Protection // Social Science Digest. — 2020. — № 8.
Review
For citations:
Du Q., Dai Yu. The Selection of Models and Institutional Construction for Fiduciary Duties of Data Trustee. Legal Science in China and Russia. 2025;(8):21-26. https://doi.org/10.17803/2587-9723.2025.8.021-026
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