The Open Data Certificates extension integrates CKAN with the Open Data Institute (ODI) Open Data Certificate system, providing automated assessment and display of open data quality certificates that validate datasets against recognized open data standards and best practices for transparency and data excellence recognition. This essential extension connects to the ODI Certificate API to retrieve and display certificate information, automatically assessing datasets for compliance with open data principles including legal openness, technical accessibility, and social sustainability. The system provides visual certificate badges, detailed certificate information, and automated certificate requests for published datasets with configurable assessment criteria. Advanced features include certificate status monitoring, automated re-assessment scheduling, and integration with dataset quality workflows for comprehensive data validation. The extension supports custom certificate templates, organizational branding for certificate display, and detailed certificate analytics for tracking open data compliance across the portal. Administrative tools provide bulk certificate processing, certificate status reporting, and integration with approval workflows for certificate publication. Integration capabilities include webhook notifications for certificate updates, API endpoints for external certificate management, and compatibility with other quality assessment extensions for comprehensive data validation frameworks. The system supports certificate caching for performance optimization, certificate history tracking, and detailed audit trails for compliance reporting. Quality assurance features include certificate validation, automated error reporting, and integration with data quality improvement workflows. Essential for government portals implementing open data policies, organizations seeking open data certification, data publishers requiring quality validation, and institutions where recognized compliance with open data standards, transparency demonstration, and quality assurance are critical for building public trust and meeting regulatory requirements in the open government data ecosystem.