Big Data Research ›› 2023, Vol. 9 ›› Issue (2): 67-78.doi: 10.11959/j.issn.2096-0271.2023016


Data trust: a trustworthy data transaction model

Jinglei HUANG, Jinpu LI, Ke TANG   

  1. Institute of Economics, School of Social Sciences, Tsinghua University, Beijing 100084, China
  • Online:2023-03-01 Published:2023-03-01
  • Supported by:
    The National Natural Science Foundation of China(72241428);The National Natural Science Foundation of China(72192802)


Data trust is regarded as a new and credible data transaction model.Data trust is not only an organizational structure to guarantee information security, but also an innovative institutional design to enhance the trustworthiness of data factor market.A data trust operation mechanism was designed, and the organizational structure, characteristics, functions, and regulatory scheme of the data trust under this mechanism were discussed.That data trust contained two independent legal relationships were pointed out.Its most important feature was the risk segregation among participants, which was the basis of data trust as a credible data transaction model.Data trusts could play an important function in the data value chain, specifically in terms of data value addition, data escrow, and data commons.Finally, the unique advantages of data trust based on the institutional guidelines of “20 measures to build basic systems for data” were demonstrated, and that personal data trust and public data trust were feasible practical paths was pointd out.

Key words: data trust, data transaction, institutional design

CLC Number: 

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