Data validation involves checking the data for errors and inconsistencies. This can be done through automated checks within data entry software, manual review, or a combination of both. Common validation techniques include range checks, consistency checks, and duplicate detection. Ensuring data validity is a continuous process, requiring regular monitoring and quality control measures.
