In response to the collaborative and operational demands of healthcare data ecosystems, this study investigated the fundamental models for medical data assetization and governance. We systematically explored methodologies for data assetization and operational frameworks, and proposed a unified model architecture. Aligned with clinical practice requirements, a disease-specific data asset management platform was developed. Platform implementation and effectiveness analysis demonstrate that our model significantly enhances cross-institutional collaboration and value-driven utilization of specialized medical data, providing critical insights for optimizing healthcare data interoperability and maximizing its socioeconomic impact.