The clinical trial supply chain relies on highly regulated data and processes. This thesis provides a methodology for quality control in complex, high-risk, zero-defects, and human-driven data migration projects. This work concerns the Good Manufacturing Practices (GMP) regulated data migration of Investigational Medicinal Product (IMP) labels from a legacy Enterprise Resource Planning (ERP) system to the new Central Label Management (CLM) software. The upcoming retirement of the old ERP system presented two threats: failing to migrate the label data and the potential for data integrity loss of the migrated data. The objective was to develop a robust migration and cutover strategy to ensure 100% data correctness and correspondence against the IMP data.