Ensuring data quality involves several steps. Data validation techniques, such as cross-referencing with multiple sources, can help verify the accuracy of the information collected. Training data collectors and employing [automated data validation tools]() can further enhance data quality. Regular audits and feedback loops also play a critical role in maintaining high standards.
