治理研究 ›› 2024, Vol. 40 ›› Issue (6): 123-139.

• 法与治理 • 上一篇    下一篇

数据资产登记制度的逻辑转变、核心架构与优化策略

张真源   

  • 收稿日期:2023-10-10 出版日期:2024-11-15 发布日期:2024-12-25
  • 作者简介:张真源,西南政法大学人工智能法学院博士后研究人员,西南大数据法律研究中心副主任。
  • 基金资助:
    浙江省社科规划“习近平总书记考察浙江重要讲话精神研究阐释”专项课题“以法治手段促进营商环境优化研究”(23YJZX37YB);重庆市教委科学技术研究项目“‘设计伦理’理念下人工智能立法的技术路线研究”(KJQN202400302)

The logical Transformation, Core Architecture, and Optimization Strategy of the Data Asset Registration System

Zhang Zhenyuan   

  • Received:2023-10-10 Published:2024-11-15 Online:2024-12-25

摘要:

数据交易服务化表明,财产型交易模式无法为数据交易双方提供稳定的收益,市场主体自发地把数据“藏了起来”,将数据与数字技术结合在特定的应用场景为用户提供数据服务。那么,以确权为核心的数据资产登记便陷入了:数据要素公共性与财产权客体私有性之间的矛盾;数据要素共享性与登记确权排他性之间的矛盾。为此,应“扬弃”登记确权的初始逻辑,转而以确认数据资产合规安全为核心,重塑数据资产登记的制度功能。在此基础上,应确立数据资源和数据产品作为登记标的物,采用“物的编制主义”“基本信息、应用场景、数据来源、数据结构、更新频次和技术规则”“合规安全描述性事项”为基础的形式要件,形成以合规登记、安全登记与合同备案登记为内容的登记类型,并赋予登记以相应的法律效力,以此构成数据资产登记制度的核心架构。最后,根据数据资产登记逻辑转变与核心架构,建构符合现状的数据资产登记“1+(M+N) +Xx”组织体系与模式,以及“一体多级多面”规范支撑体系。

关键词: 数据交易, 数据服务, 数据资产登记, 合规安全, 数据确权

Abstract:

Service-oriented data trading indicates that the property-based trading model cannot provide stable returns for both parties in data trading. Market entities spontaneously hide data and combine it with digital technology in specific data application scenarios to provide data services to buyers. But, in doing so, the registration of data assets as property rights becomes untenable. The public nature of data elements and the private nature of property rights creates a contradiction because the sharing of data elements cannot be reconciled with the exclusivity of registered rights. Therefore, the initial logic of registration and rights confirmation should be abandoned. Instead, the institutional function of data asset registration should transformed into confirming data asset compliance and security. Data resources and data products can then be established as registration objects. Formal requirements should be established that are based on “material compilation principle”, “basic information, application scenarios, data sources, data structure, update frequency and technical rules”, and “compliance and security descriptive matters.” Registration types can be created based on compliance registration, security registration, and contract filing registration. Registration should be given corresponding legal effect, thus forming the core architecture of the data asset registration system. Finally, based on the logical transformation and core architecture of data asset registration, a “1+(M+N)+Xx” organizational system and model for data asset registration should be constructed as well as a “unified, multi-level, and multi-dimensional” normative support system.

Key words: data trading, data services, data asset registration, compliance and security, data rights confirmation

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