曲靖师范学院学报 ›› 2026, Vol. 45 ›› Issue (3): 75-83.

• 社会学研究 • 上一篇    下一篇

场景化视阈下基于个人数据的数据分层确权网状机制研究

石现明, 陈玉杰   

  1. 云南财经大学 法政学院,云南 昆明 650221
  • 收稿日期:2025-09-10 出版日期:2026-05-26 发布日期:2026-06-23
  • 作者简介:石现明,云南财经大学法政学院教授,法学博士,硕士生导师,主要从事国际法和民商法研究。

Construction of a Networked Data Rights Mechanism Based on Layered Personal Data in a Scenarized Perspective

SHI Xianming, CHEN Yujie   

  1. School of Law and Politics,Yunnan University of Finance and Economics,Kunming Yunnan 650221,China
  • Received:2025-09-10 Published:2026-05-26 Online:2026-06-23

摘要: 个人数据是数字化时代数据分类与确权的基石,数据分层确权之所以关键,在于它试图平衡数据流通与隐私保护,这与个人的数字尊严与信息自决息息相关,也与数字生态健康及可持续发展紧密相连。传统确权机制惯于采用所有权绝对化或机械授权的做法,难以适应数据跨场景流通中权益关系的动态变化,易使数据垄断与隐私泄露并存。从这一困境出发,提出纵横交织的网状确权机制,该机制从场景、数据形态和权利配置三个维度展开。场景上,区分纯个人数据、个人数据与企业数据融合、个人数据与公共数据交互三种场景;数据形态上,厘清原始数据、衍生数据、数据产品三个层次;权利配置上,融入数据资源持有权、数据加工使用权、数据产品经营权三项权利。三者整合,形成横向场景适配与纵向分层确权的机制架构。

关键词: 个人数据, 个人数据权, 数据分层确权, 场景化

Abstract: Personal data is the cornerstone of data classification and rights confirmation. Layered rights confirmation matters because it seeks to balance data circulation and privacy protection—a concern that directly involves digital dignity, informational self-determination, and a sustainable digital ecosystem. Traditional mechanisms, with their absolutized ownership or rigid authorization, cannot adapt to the dynamic rights relationships in cross-scenario data flows, often leaving data monopoly and privacy leakage entrenched together. To address this, we propose a criss-cross, grid-like mechanism structured around three dimensions: scenario types (purely personal data, personal data fused with enterprise data, and personal data interacting with public data), data forms (raw data, derivative data, data products), and a rights bundle (the right to hold data resources, the right to process and use data, and the right to operate data products). Integrating these dimensions yields an architecture that is horizontally adaptive to scenarios and vertically layered—namely, horizontal scenario adaptation with vertical layered rights confirmation.

Key words: personal data, right to personal data, tiered data right confirmation, scenario-based

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