信息网络安全 ›› 2022, Vol. 22 ›› Issue (10): 45-51.doi: 10.3969/j.issn.1671-1122.2022.10.007

• 入选论文 • 上一篇    下一篇

我国跨境数据流动治理的研究综述

肖晓雷1, 赵雪莲2()   

  1. 1.中国人民公安大学法学院,北京 100038
    2.四川警察学院侦查系,泸州 646000
  • 收稿日期:2022-07-01 出版日期:2022-10-10 发布日期:2022-11-15
  • 通讯作者: 赵雪莲 E-mail:437397609@qq.com
  • 作者简介:肖晓雷(1991—),女,北京,博士研究生,主要研究方向为数据法学|赵雪莲(1989—)女,四川,讲师,硕士,主要研究方向为公安学

Overview of the Research on Governance of Cross-Border Data Flow in China

XIAO Xiaolei1, ZHAO Xuelian2()   

  1. 1. School of Law, People’s Public Security University of China, Beijing 100038, China
    2. School of Investigation, Sichuan Police College, Luzhou 646000, China
  • Received:2022-07-01 Online:2022-10-10 Published:2022-11-15
  • Contact: ZHAO Xuelian E-mail:437397609@qq.com

摘要:

数据跨境流动的常态化发展对我国数据安全造成了一定冲击和挑战,相关研究为探索我国跨境数据流动的治理提供了重要的参考。文章运用系统性文献综述的方法,从利益关切、治理模式、治理路径3个角度阐述我国数据跨境流动治理的研究现状。通过分析发现,当前我国跨境数据流动治理的研究尚处于起步阶段,需要建立利益关切的平衡机制,探索多元化的合作治理模式并构建双轨制治理路径。未来应确立以国家安全为底线的治理基准,着力创新跨境数据合规的体系建设,探索数据规制措施的必要性评估制度。

关键词: 跨境数据流动, 数据安全, 数据治理, 国际合作, 本土化方案

Abstract:

The normalized development of cross-border data flows has brought impact and challenge to our country’s data security, the relevant research could provide a reference for enriching academic theory for exploring governance schemes for cross-border data flows in China. By using the method of systematic literature review, this paper expounded the research status of China’s cross-border data flow governance from the perspectives of interest concern, governance model and governance path. Through analyzing, the study found that the research on governance of cross-border data flow in China was still in primary stage, and it was necessary to establish a mechanism for balancing interests, explore a diversified cooperative governance model, and build a dual track governance path. In the future, the data governance criterion should be established with the overall view of national security, focus on the innovation of cross-border data compliance system construction, and explore the necessity evaluation system of data regulation measures.

Key words: cross-border data flow, data security, data governance, international cooperation, localization scheme

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