Methods and Tools for Personal Data Protection in Big Data: Analysis of Uzbekistan’s Legal Framework
Abstract
This study examines methods and tools for protecting personal data in the Big Data context, with a focus on Uzbekistan’s legal framework. The research analyzes anonymization, pseudonymization, privacy notices, privacy impact assessments, privacy by design, and ethical approaches to data protection. Through comparative analysis with international standards such as GDPR, the study identifies significant gaps in Uzbekistan’s “On Personal Data” law, which lacks specific provisions on modern data protection tools. Research findings reveal that while basic protections exist, Uzbekistan’s legislation requires enhancement to address Big Data challenges effectively. This paper proposes legislative amendments to include comprehensive anonymization guidelines, formal pseudonymization processes, and privacy impact assessment requirements. Additional recommendations include establishing personal data repositories, implementing privacy certification mechanisms, and developing national data ethics principles. These measures would strengthen Uzbekistan’s data protection framework while enabling innovation in the digital economy, balancing technological advancement with individual privacy rights.