吉首大学学报(社会科学版) ›› 2023, Vol. 44 ›› Issue (5): 111-121.DOI: 10.13438/j.cnki.jdxb.2023.05.012

• 法学 • 上一篇    下一篇

数据资源的类型化赋权

黄武双,邱思宇   

  1. (华东政法大学 知识产权学院,上海 200042) 
  • 出版日期:2023-09-01 发布日期:2023-09-20
  • 作者简介:黄武双,男,博士,华东政法大学知识产权学院教授,博士生导师。
  • 基金资助:
    国家社会科学基金项目(22BFX083);上海市哲学社会科学项目(2022EFX006)

On the Typed Empowerment of Data Resources

HUANG Wushuang,QIU Siyu   

  1. (Intellectual Property School,East China University of Political Science and Law,Shanghai 200042,China)
  • Online:2023-09-01 Published:2023-09-20

摘要:在信息数字化时代,数据资源的流通和利用需要完善数据权属体系的构建,而合理的数据资源分类标准是构建完善数据权属体系的必要前提。数据资源的信息内容因具有连续性而不应成为划分类型的依据,依据数据资源转化过程中的表现形式进行类型化更具合理性。根据数据资源在价值实现过程中的不同形态,可将数据资源划分为原始数据资源、集合数据资源和衍生数据资源三种类型。相应赋权为:自然信息对应的原始数据资源赋予国家所有权和生产者收益权,个人信息对应的原始数据资源则赋予个人以个人数据财产权;集合数据赋予公开非独创集合数据资源以有限的排他权;衍生数据以著作权法为核心增加邻接权的保护。

关键词: 数据资源, 数据类型, 数据权益

Abstract: In the information digital ere,it is needed to improve the data ownership system for the circulation and utilization of data resources,and a reasonable classification standard of data resources is the necessary prerequisite for the construction and improvement of data ownership system.Due to its continuity,the information content of data resources should not be the basis for classification,rather it is more reasonable to classify according to the forms of expression in the process of data transformation.According to the different forms of data resources in the process of value realization,data resources can be divided into three types:original data resources,aggregate data resources and derivative data resources.The corresponding empowerment is as follows:the original data resources corresponding to natural information are endowed with national ownership and producers' income rights,and those corresponding to personal information are endowed with personal data property rights;the aggregate data gives limited exclusive rights to open non-original aggregate data resources;and the deri-vative data takes the copyright law as the core to increase the protection of adjacent rights.

Key words: data resources, data types, data rights and interests

版权所有 © 2021《吉首大学学报(社会科学版)》编辑部
技术支持:北京玛格泰克科技发展有限公司
公众号 电子书橱 超星期刊 手机浏览 在线QQ