Data Governance Frameworks
Several frameworks have been developed to guide organizations in establishing effective data governance practices. While not all are specifically tailored to ML, they provide foundational principles that can be adapted to the unique needs of ML projects.
The DAMA-DMBOK Framework
The Data Management Body of Knowledge (DAMA-DMBOK) is one of the most comprehensive frameworks for data management and governance. Developed by the Data Management Association (DAMA), it outlines key areas of data management, including data governance, data quality, data security, and data architecture.
Key Components Relevant to ML