The Research Review and Prospects of the Legal Issues of Cross-border Data Flow under the Holistic View of National Security

Linqi Li; Yujie Wang

doi:10.54097/vb4bwx86

Authors

Linqi Li
Yujie Wang

DOI:

https://doi.org/10.54097/vb4bwx86

Keywords:

Holistic View of National Security, Cross-border Data Flow, Data

Abstract

In order to give full play to the value of data, we should construct the governance of cross-border data flow according to the problems existing in the practice of cross-border data flow under the overall national security concept : improve the supervision system of cross-border data flow ; improve the classification system of cross-border data flow ; promote the legal protection of cross-border flow of personal information; establish an international cooperation mechanism for cross-border data flows ; describe the ' China blueprint ' for cross-border data flow governance. The research summary of the above problems is sorted out, and the prospects are expanded, and suggestions for improvement are put forward, to benefit the governance of cross-border data flow under the overall national security concept.

Downloads

Download data is not yet available.

References

[1] Richard D. Taylor, Data localization: The internet in the balance. Telecommunications Policy,2020(8), p44. DOI: https://doi.org/10.1016/j.telpol.2020.102003

[2] John Selby, Data Localization Laws: Trade Barriers or Legitimate Responses to Cybersecurity Risks, or Both?. International Journal of Law and Information Technology, 2017(3), p213-232. DOI: https://doi.org/10.1093/ijlit/eax010

[3] W. Gregory Voss. Cross-Border Data Flows, the GDPR, and Data Governance. INTERNATIONAL ORGANISATI ONS RESEARCH JOURNAL, 2022,5(17). DOI: https://doi.org/10.17323/1996-7845-2022-01-03

[4] Aaronson, S.A. and Leblond, P:Another Digital Divide: The Rise of Data Realms and Its Implications for the WTO. Journal of International Economic Law, No.21,2022. DOI: https://doi.org/10.1093/jiel/jgy019

[5] Bergen K J, Johnson P A, de Hoop M V, et al: Machine learning for data-driven discovery in solid Earth geoscience. Science, No.3,2019. DOI: https://doi.org/10.1126/science.aau0323