摘要
衍生数据是数据平台对原始数据进行脱敏化处理和技术分析,形成的匿名化(非可识别化)、可读取、有使用价值的数据。数据平台兼具数据“守门员”和“运动员”的双重身份必然带来利益冲突。衍生数据不具有原始数据的高敏感性,且具有财产性和独立性属性,能够作为信托财产的标的。数据信托模式对衍生数据进行受托管理,能够使数据平台“守门员”与“运动员”的双重身份予以分离,维护数据主体权益,降低数据市场垄断风险,有效提高数据市场流通效率。在具体制度设计上,需明确数据平台的委托人和受益人身份,完善数据信托的监管规则、市场准入制度、合规管理等制度设计,促进数据市场的稳定有序发展。
Derived data is the anonymized(non-identifiable),readable and valuable data formed by the desensitization and technical analysis on the original data on the data platform.The dual identity of data platform as both“goalkeeper”and“athlete”inevitably brings conflicts of interest.The derivative data does not own the high sensitivity of the original data,but owns property and independence attributes,which can be used as the subject of trust property.The trustee management of derivative data in the data trust model can separate the dual identities of“goalkeeper”and“athlete”in the data platform,safeguard the rights and interests of data subjects,reduce the risk of data market monopoly,and effectively improve the efficiency of data market circulation.In terms of specific system design,it is necessary to clarify the identity of the trustor and beneficiary of the data platform,improve the regulatory rules,market access system,compliance management and other system designs of the data trust,and promote the stable and orderly development of the data market.
作者
闫夏秋
杨鑫逸
Yan Xiaqiu;Yang Xinyi(Hehai University,Nanjing 210098,Jiangsu,China)
出处
《征信》
北大核心
2023年第6期52-58,共7页
Credit Reference
基金
教育部人文社会科学基金青年项目(21YJC820044)
中央高校基本科研业务费人文社会科学专项课题项目(B230207067)。
关键词
衍生数据
数据信托
适格性
数据平台
数据垄断
信义义务
derived data
data trust
appropriateness
data platform
data monopoly
fiduciary duty
作者简介
闫夏秋(1990-),女,重庆人,讲师,博士,硕士生导师,主要研究方向为金融法、数据法;杨鑫逸(1990-),男,安徽铜陵人,硕士研究生,主要研究方向为数据法。
