江汉学术 ›› 2025, Vol. 44 ›› Issue (4): 106-118.doi: 10.16388/j.cnki.cn42-1843/c.2025.04.010

• 法律专栏_法治中国建设的新视域与新话语 • 上一篇    下一篇

论我国数据财产分类保护的基本路径

时明涛   

  1. 江西科技师范大学 经济管理与法学院,南昌 330038
  • 收稿日期:2024-12-05 出版日期:2025-08-15 发布日期:2025-08-15
  • 作者简介:时明涛,男,江西九江人,江西科技师范大学经济管理与法学院讲师,博士,E-mail:shimingtao1126@163.com。
  • 基金资助:
    江西省高校人文社会科学研究项目“数据财产权保护的法律机制研究”(FX23201)

Measurement,Spatio-temporal Evolution and Influencing Factors of Regional Financial Resilience in ChinaBasic Paths of Classified Protection of Data Property in China

SHI Mingtao   

  1. School of Economics,Management and Law,Jiangxi Science and Technology Normal University,Nanchang 330038
  • Received:2024-12-05 Online:2025-08-15 Published:2025-08-15

摘要: 作为数据财产权的制度基础,现有的数据分类方式难以体现不同数据在保护方式与保护程度上的区别。数据财产的分类保护应当建立在数据权益区分的基础之上。首先,作为财产权客体的数据应当满足特定的条件,它在保护方式与保护程度上与数据财产利益有着明显的区别。其次,以要素形态而存在的数据无法适用财产权的保护方式,适用财产利益的保护方式能够容纳不同类型数据的保护需求,更加符合数据的客体特征。最后,在数据财产利益的保护过程中应当重点考察权益保护的正当性,在此基础上可进一步将它类型化为不当获取型与不当利用型数据权益纠纷。

关键词: 数据财产, 权益区分, 数据要素, 数据财产权, 数据财产利益

Abstract: As the institutional basis of data property rights,the existing data classification methods of China can hardly reflect the differences in the methods and degrees of data protection. The classified protection of data property should be based on the distinction of data rights and interests. Firstly,data as the object of property rights should meet specific conditions,and it is significantly different from data property interests in terms of protection methods and degrees. Secondly,data existing in the form of elements cannot be protected by the protection method of property rights;while the protection method applicable to property interests can accommodate the protection needs of different types of data and is more in line with the characteristics of data as object. Finally,in the process of protecting data property interests,the legitimacy of rights protection should be examined as a key point,on which basis,it can be further classified as disputes over data rights of improper acquisition and improper utilization.

Key words: data property, equity distinction, data element, data property rights, data property interests

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