Identity-Partitioned Data: A Subject-Based Framework for Data Privacy

This paper introduces Identity-Partitioned Data, a technical model for implementing subject-based data privacy by treating subject identity as the fundamental computational boundary across data lifecycles. It presents the PO·VO·RO framework — Physical, Virtual, and Release Objects — unified through a Subject Token mechanism that enables structural data privacy, traceable compliance, and a simple implementable foundation for GDPR and beyond.