This scholarly article examines the critical aspects of ethical big data usage, drawing insights from secure data access practices. It addresses the challenges associated with managing large datasets while maintaining privacy and security. The paper outlines key principles for ethical data handling, emphasizing the importance of risk assessment, human oversight, and adherence to legal requirements. It explores the concept of statistical disclosure control (SDC) in secure data facilities and discusses methods to mitigate re-identification risks in research outputs. The study provides valuable recommendations for implementing secure data access protocols in big data research, contributing to the ongoing discourse on data ethics and cybersecurity.
