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Legal Regulations On The Cross-Border Flow Of Personal Data Under The Backgroud Of Data Sovereignty

Posted on:2024-02-04Degree:MasterType:Thesis
Country:ChinaCandidate:S S LiuFull Text:PDF
GTID:2556307124981239Subject:Not a law student
Abstract/Summary:
With the rapid development of internet technology,many countries around the world have entered the era of big data.After the outbreak of the Snowden "Prism Gate" incident,the legal regulation of cross-border data flow in various countries and the formulation of relevant international rules began to receive widespread attention.Personal data,as it carries important strategic values such as national security and social public interests,has become one of the key objects of discussion.In recent years,we has successively introduced multiple laws and regulations,establishing a cross-border flow regulation and protection system for personal data based on data sovereignty.However,compared to the relevant practices of the European Union and the United States,which have rich legal regulation experience,there are still some issues in our cross-border protection and regulation of personal data,such as simplified legislative content,inadequate personal data supervision methods,and a lack of external communication.To solve these problems,we need to do the following three aspects of work well: first,strengthen the legal protection of cross-border flow of personal data by refining the rules related to data sovereignty and managing personal data classification and grading.The second is to address the deficiencies in data regulation by improving judicial remedies for data infringement,clarifying reasonable jurisdiction,and unifying regulatory authorities.The third is to actively promote our participation in international data governance through international cooperation,reasonable determination of the jurisdiction of data from various countries,and strengthening international judicial cooperation.
Keywords/Search Tags:personal data, data sovereignty, cross-border flow, grading and classification management
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