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Challenges and Countermeasures in Cross-Border Data Collection
- 1 East China University of Political Science and Law
* Author to whom correspondence should be addressed.
Abstract
In the context of globalization, cross-border data collection has become a crucial tool for countries combating transnational crime. China primarily employs international criminal judicial assistance to conduct cross-border data collection. While this approach respects national sovereignty, it faces practical challenges such as low efficiency and limited authority. In contrast, the United States and the European Union adopt a more flexible data controller model, achieving robust cross-border data collection capabilities. However, conflicts in data sovereignty and differences in legal systems hinder the direct application of these models in China. This paper employs a comparative research methodology to analyze the legislative frameworks and backgrounds of the U.S. and EU cross-border data collection approaches, identifying reasons these models are unsuitable for direct implementation in China. Building on insights from these legislative models, the paper proposes recommendations such as increasing the number of bilateral judicial assistance agreements and establishing a categorized data management system, aiming to provide a reference for China's future development in this field.
Keywords
Cross-Border Data, Evidence Collection Models, Comparative Analysis
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Cite this article
Wang,J. (2025). Challenges and Countermeasures in Cross-Border Data Collection. Lecture Notes in Education Psychology and Public Media,79,25-31.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of ICGPSH 2024 Workshop: Industry 5 and Society 5 – A Study from The Global Politics and Socio-Humanity Perspective
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