Applying regulations and standards for government data management, governance, and quality assurance.
Three Axes - 9 Criteria
Perspective at a glance
Key facts
Three axes: Data Management, Data Governance, Data Quality
9 criteria covering the government data lifecycle
Includes open data and inter-entity data sharing
Linked to national data policies and the open data platform
Supports data-driven decision-making in government entities
Data Management
Organising the collection, storage, and processing of government data against unified standards and national requirements.
Data Governance
Applying policies and regulations governing data management and defining roles and responsibilities.
Data Quality
Ensuring data accuracy, completeness, currency, and consistency across all systems.
The nine criteria
Axis
Criterion
Description
Data Management
Data classification
Classifying data by sensitivity, confidentiality level, and importance
Data Management
Data catalogue
Documenting all data assets in a single central catalogue
Data Management
Data sharing
Mechanisms for secure inter-entity government data sharing
Data Governance
Data policies
Establishing clear data management policies and ensuring compliance
Data Governance
Roles & responsibilities
Defining data stewards and their roles in each organisational unit
Data Governance
Open data
Publishing open data per national standards to promote transparency
Data Quality
Quality standards
Defining data quality metrics and applying them systematically
Data Quality
Data cleansing
Periodic cleansing processes to address errors and duplication
Data Quality
Quality monitoring
Continuous data quality monitoring systems with periodic reports
Implementation guidance
01
Assess data maturity
Evaluate the current state of data management, governance, and quality.
02
Build governance framework
Develop data governance policies and define roles and responsibilities.
03
Create a data catalogue
Document all data assets, classify them, and link them to business processes.
04
Apply quality standards
Activate cleansing and continuous monitoring processes to ensure data quality.
Government data is a strategic national asset. Applying management, governance, and quality standards enables entities to make decisions based on accurate, reliable data.
