上海大学学报(社会科学版) ›› 2025, Vol. 42 ›› Issue (3): 107-125.

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数据交易市场建设中“所商分离”模式的路径选择与制度保障

  

  1. 武汉大学 法学院
  • 出版日期:2025-05-15 发布日期:2025-05-26
  • 作者简介:张素华,武汉大学法学院教授、博士生导师。研究方向:民商法学、数据法学。 尹晓坤,武汉大学法学院博士研究生。研究方向:民商法学、数据法学。
  • 基金资助:

    国家社会科学基金重大专项(24ZDA025);

    湖北省社会科学基金重点项目暨省新型智库项目(HBSSKJJ20211171)

Path Selection and Institutional Guarantees for the“Separation of Agency and Commerce”Model in the Construction of Data Trading
Markets

  1. School of Law, Wuhan University
  • Online:2025-05-15 Published:2025-05-26

摘要:

我国数据交易市场的建设面临数据交易所功能定位不清、数据交易生态培育不足等困境,制约数据场内交易发展。数据交易所与数据商功能分离能够解决数据场内交易不活跃的问题,有助于培育数据要素流通服务生态。“所商分离”模式下,数据交易所应承担公共管理职能。国家级数据交易所作为国家数据局直属事业单位法人,承担构建统一的数据流通交易规则体系与技术标准体系的基础服务职能和合规监管指导职能,区域性数据交易所在国家级数据交易所的垂直管理下,结合区域实践,承担区域内组织交易、数据商及数据产品登记审核、交易监管等一线监管职能。数据商应为从事数据价值链上各种数据价值挖掘活动的市场化机构,承担数据开发、数据发布、数据交易撮合及数据资本化等市场化职能。“所商分离”模式的落地还依赖主体准入机制、数据产品登记制度、信息披露制度以及数据交易协同治理机制的构建。

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Abstract:

The construction of the data trading market in China faces challenges such as unclear functional positioning of data exchanges and insufficient cultivation of the data trading ecosystem, which restricts the development of on-site data transactions. The separation of functions between data exchanges and data merchants can address the issue of inactive on-site data transactions and help cultivate a data element circulation service ecosystem. Under the“Separation of Agency and Commerce”model, data trading venues should undertake public management functions. As legal entities directly under the National Data Administration, national-level exchanges are responsible for constructing a unified system of data circulation trading rules and technical standards, as well as providing compliance regulatory guidance. Meanwhile, regional data exchanges operate under the vertical management of national-level exchanges, taking into account regional practices to handle on-the-ground regulatory functions, such as organizing trading, reviewing data merchants and data product registrations, and transaction supervision. Data merchants should be marketoriented institutions engaged in various data value extraction activities along the data value chain, assuming market functions such as data development, data publication, transaction facilitation, and data capitalization. The implementation of the“Separation of Agency and Commerce”model also relies on the establishment of mechanisms for subject access, data product registration, information disclosure, and collaborative governance of data trading.

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