International Big Data Privacy Frameworks

doi:N/A

Research Article | Volume 4 Issue 1 (January - March, 2026) | Pages 1 - 9

Serena L. Morgan

Yashdeep Malhotra

Omar Al-Husseini

Department of Data Governance & Cyber Law, University of California, Berkeley, USA

Centre for Digital Privacy Regulation, Indian Institute of Business Research, India

School of Global Cybersecurity Policy, King Abdullah University of Science and Technology, Saudi Arabia

Abstract

Big data systems enable large-scale collection, storage, processing, and analysis of personal information across global digital ecosystems. As data travels across jurisdictions with different legal norms, international privacy frameworks become essential to protect user rights, regulate data flows, and reduce cyber risks. This study analyzes various international privacy regimes, including GDPR (EU), CCPA (USA), PDPB (India), PDPA (Singapore), LGPD (Brazil), PIPL (China), and OECD cross-border principles. Using comparative analysis, regulatory interpretation, and hypothetical datasets, the paper evaluates how differing legal definitions, enforcement mechanisms, and cultural norms shape global data governance. Results show that global harmonization is hindered by political sovereignty, economic interests, and technological complexity. A unified policy model is proposed to balance innovation, security, and human rights.

Keywords

Big Data Privacy

Cross-Border Data Flow

GDPR

Data Protection Law

Cybersecurity Governance

Digital Sovereignty

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