摘要
数据确权是数据要素化和数据产权交易的前提条件。以算法为核心促成数据的要素化和数据要素的价值实现。在一定程度上数据与算法之间形成同构关系。目前,数据确权方式主要有正向和反向两种。通过设置经典权利结构的正向确权模式难以解决个人信息保护与加快数据流转的问题。反向确权方案以算法为基础,建构起数据准入与数据流转交易的负面清单与责任清单。反向确权方案能够获得现代产权理论尤其是不完全契约理论的支持,可以为市场主体自发形成数据确权与数据交易规则提供空间。
Data rights authentication is the precondition of data turned to be factors of production and data property transaction, and takes algorithm as the core to promote data factored and the realization of the value of the data elements. To a certain extent, we can find a homogeneous relationship between data and algorithms. There are two approaches to data rights authentication. One scheme is to set up a positive and normative legal right, but difficult to solve the problems about protecting personal information and speeding up data circulation. Another scheme is to construct negative lists and liability lists for data access and data transactions based on algorithms. Such a scheme can be supported by modern property rights theory, a significantly incomplete contract theory. It also can delimit free space for data rights authentication so that that market entity can raise rules of data transaction spontaneously.
出处
《上海政法学院学报（法治论丛）》
2021年第4期131-145,共15页
Journal of Shanghai University of Political Science & Law(The Rule of Law Forum)
基金
2020年度华东师范大学引进人才启动费项目“司法审判的理由论证与制度保障研究”的阶段性研究成果,项目编号:2020ECNU-HLYT073。
关键词
生产要素
数据确权
算法
不完全契约理论
Factors of Production
Data Rights Authentication
Algorithm
Incomplete Contract Theory
