Description
The Research Data Quality and AI Compatibility Audit Framework evaluates the quality, consistency, and AI-readiness of research data assets across your organization. It assesses key dimensions of data management, standardization, documentation, and compatibility with AI/ML applications. The results will help identify gaps in your data infrastructure and provide actionable recommendations for improving data quality for AI implementation.
