Data collection: Use reliable and validated data collection instruments and methods. Data cleaning: Regularly check and clean data to remove errors and inconsistencies. Training: Train data collectors and analysts on best practices and standard procedures. Verification: Cross-check data with multiple sources to ensure its validity.
