Data quality can be measured using various metrics such as accuracy, completeness, timeliness, consistency, and relevance. Audits, data quality assessments, and validation studies are commonly used methods to evaluate these metrics. Regular monitoring and reporting of data quality metrics can help identify issues and implement corrective actions promptly.
