Ensuring data quality involves several steps: - Training Data Collectors: Comprehensive training to ensure consistency and accuracy. - Standardized Protocols: Using standardized methods and protocols for data collection. - Pilot Testing: Conducting pilot tests to identify and rectify issues before full-scale data collection. - Validation: Cross-checking data with other sources or using multiple methods to confirm findings. - Data Cleaning: Identifying and correcting errors or inconsistencies in the data.
