Data Integrity in a Quality Control Laboratory
This article discusses the principles of data integrity in quality control laboratories, emphasizing accuracy, completeness, consistency, authenticity, and confidentiality. It also covers data management, validation, handling, and management, as well as corrective and preventive actions to ensure data quality and reliability.
