DATA SHARING SYSTEM

In the evolving landscape where personal data holds increasing value, businesses seek insights through data processing, but this poses potential risks to individuals’ privacy. While many companies collect consent for direct handling of personal data, a need for transparency and accountability arises to align data processing with obtained consent. This paper presents a novel Consent-Based Privacy-Compliant Personal Data-Sharing System, designed to enhance data quality while adhering to privacy regulations. The system addresses personal data-sharing flows and enterprise requirements, ensuring alignment with privacy frameworks. Through a comprehensive analysis of data-sharing processes and roles within enterprise environments based on established privacy frameworks, this paper outlines system requirements, architecture, and a detailed procedure for a consent-based privacy-compliant processing method, encompassing both compliance and consent checks. To validate the system’s feasibility, a prototype is demonstrated, and performance analysis is conducted in both laboratory and real-world environments. This proposal aims to establish a robust framework for privacy-aware personal data sharing, fostering ethical and responsible practices in the evolving data-driven landscape.