Monitoring data quality over time involves continuous evaluation and improvement practices. These include:
Regular Data Audits: Periodic reviews of data to identify and correct errors. Feedback Mechanisms: Implementing systems to provide feedback to data collectors about the quality of their work. Quality Control Charts: Using charts to track data quality metrics over time and identify trends or issues. Performance Metrics: Establishing and monitoring performance metrics related to data quality.
