The Quality Assessment extension provides a comprehensive framework for automated evaluation and scoring of dataset quality within CKAN, implementing systematic quality metrics, validation processes, and detailed reporting mechanisms to ensure high standards of data publication and accessibility. This essential extension automatically assesses multiple quality dimensions including data accessibility, format standardization, metadata completeness, structural integrity, and compliance with open data best practices. The system implements the 5-star open data rating scheme alongside custom quality metrics, providing both standardized and organization-specific quality assessments. Advanced features include automated link checking for resource availability, format validation and conversion recommendations, metadata quality scoring based on completeness and richness, and temporal quality assessment for data freshness and update frequency. The extension provides real-time quality monitoring with scheduled assessments, quality trend analysis, and comparative quality reporting across datasets and organizations. Administrative tools include configurable quality rules, batch quality assessment operations, and detailed quality analytics with dashboard visualizations. Integration capabilities extend to external validation services, data quality tools, and notification systems for quality alerts and recommendations. The system supports quality-based dataset ranking, search result ordering by quality scores, and public quality indicators for transparency in data standards. Performance features include efficient quality caching, incremental assessment updates, and scalable processing for large dataset collections. Essential for data portals maintaining quality standards, government agencies requiring data quality compliance, organizations implementing data governance policies, and installations where data reliability, user trust, and systematic quality improvement are critical for effective data sharing and utilization.