Data Governance Framework and Core Principles Based on DAMA-DMBOK2

Data governance serves as the foundational system of modern data management and provides critical support for digital transformation across all typesm of organizations. Many institutions lack systematic and standardized approaches to managing data as a strategic asset, leading to issues such as ambiguous accountability and poor data quality control. This paper explores the formal framework and core principles of data governance defined in the DAMA-DMBOK2 framework, and presents a structured, practical implementation model for enterprise-wide application. The core objectives are to enhance the standardization, transparency and business value of data management, help organizations mitigate operational and compliance risks, and improve the efficiency of data-driven decision-making.