Diverging Data Strategies of the United States, China, and the EU in the Data Cold War Era

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the modern digital era, data has emerged as a vital resource that influences every aspect of the global economy, society, politics, and culture. This study explores the emergence of the 'Data Cold War,' marked by intensified global competition over data control and protection. The United States, China, and the European Union are each adopting unique data strategies-namely data liberalism, digital protectionism, and data mutualism-which are transforming the international landscape and influencing global economic and political dynamics. While the U.S. promotes free data flow and market-driven innovation, it faces challenges with inconsistent personal data protection and diminishing international trust. China enforces strong state-led data governance to reinforce data sovereignty, leading to conflicts with international trade norms and hindering sustainable innovation. The EU seeks to balance personal data protection with data utilization through robust regulations like the GDPR but struggles with concerns that strict rules may impede innovation, especially among small and mediumsized enterprises (SMEs). This study highlights the importance of establishing global data governance by creating shared principles and standards that enable the free flow of data while safeguarding data sovereignty and protecting personal information. Strengthening international cooperation and building trust-based multilateral dialogue are essential for reaching consensus on data governance. Such efforts offer opportunities to achieve sustainable development of the global digital economy by collaboratively balancing data sovereignty, personal data protection, and data mobility.

Original languageEnglish
Title of host publication2025 IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications, SERA 2025 - Proceedings
EditorsYeong-Tae Song, Mingon Kang, Junghwan Rhee
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages464-471
Number of pages8
ISBN (Electronic)9798331565367
DOIs
Publication statusPublished - 2025
Event23rd IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2025 - Las Vegas, United States
Duration: 2025 May 292025 May 31

Publication series

Name2025 IEEE/ACIS 23rd International Conference on Software Engineering Research, Management and Applications, SERA 2025 - Proceedings

Conference

Conference23rd IEEE/ACIS International Conference on Software Engineering Research, Management and Applications, SERA 2025
Country/TerritoryUnited States
CityLas Vegas
Period25/5/2925/5/31

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

Keywords

  • Data Cold War
  • Data Liberalism
  • Data Mutualism
  • Data Protectionism
  • Data Sovereignty
  • Digital Borders

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Artificial Intelligence
  • Computer Science Applications
  • Software
  • Information Systems and Management

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