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大数据时代我国个人信息权利化保护制度研究——基于政府数据融合背景 被引量:6

An Analysis on China s Personal Information Rrights Protection System in the Era of Big Data Based on the Background of Government Data Fusion
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摘要 大数据时代个人信息安全面临着新的挑战,新冠肺炎疫情使得政府数据融合这一政府治理新举措进入新的发展阶段,随之也带来了新的个人信息安全威胁.通过权利方式保护个人信息已经成为一种世界趋势,也是信息时代的应有之义.我国立法目前虽然并未明确个人信息权的概念,理论界对于个人信息是否进行权利化的保护亦不乏讨论.为了通过确权保护个人信息的安全,在明确梳理我国个人信息保护的立法体系以及理论界对个人信息作为权利的观点的基础上,选取英国、美国、加拿大与德国作为比较法研究对象,最终从公法与私法相结合的角度提出个人信息权利化保护的具体对策,以应对政府数据融合背景下的个人信息权利保护问题. Personal information security is facing new challenges in the era of big data.The novel coronavirus pneumonia has led to a new stage of government administration in the government data fusion,and it has also brought new threats to personal information security.It has become a world trend to protect personal information through right,which is also the due meaning of the information age.Although the concept of personal information right is not clearly defined in China s legislation,there is a lot of discussion on whether to protect personal information as a right in theoretical circles.In order to protect the personal information security through the confirmation of rights,on the basis of clearly combing the legislative system of personal information protection in China and the views of the theoretical circles on personal information as a right,this paper selects the United Kingdom,the United States,Canada and Germany as the research objects of comparative law,and finally puts forward specific countermeasures for the protection of personal information rights from the perspective of the combination of public law and private law to confront with personal information rights protection issues under the background of government data fusion.
作者 王晓牛 邓舜怡 李梦颖 陈任杰 Wang Xiaoniu;Deng Shunyi;Li Mengying;Chen Renjie(School of Law,East China University of Political Science and Law,Shanghai 200050)
出处 《信息安全研究》 2020年第12期1088-1100,共13页 Journal of Information Security Research
基金 2020年华东政法大学硕士研究生学术研究及社会调研项目(2020-4-061)。
关键词 大数据 个人信息 安全 权利化保护 政府数据融合 big data personal information safety rights protection government data fusion
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