The framework of policies, processes, roles and controls used to manage data throughout its lifecycle.
Data Governance is the organizational framework that defines how information is created, maintained, controlled, secured and used across the enterprise. It establishes ownership, standards, responsibilities, quality requirements and decision-making processes to ensure that engineering and operational data remains accurate, consistent and trustworthy throughout its lifecycle.
Data Governance provides accountability for enterprise information and enables consistent, high-quality asset data that supports engineering, operations and business decision-making.
A Data Governance framework typically defines data owners, data stewards, quality rules, naming standards, validation procedures, change management processes and compliance requirements.
Data Governance establishes how information is managed, while Data Quality measures the condition of that information and Data Validation verifies compliance with defined rules.
Industrial Data & Analytics; Asset Information Management; Digital Engineering.
Master data management.; Data quality improvement.; Information standards.; Asset information governance.; Digital transformation.
ISO 8000; DAMA-DMBOK
VisualAIM connects glossary concepts to the asset records, inspection histories, and workflows they describe.