Data Integrity

The degree to which data are complete, consistent, accurate, trustworthy, and reliable throughout the data life cycle. Data should be attributable, legible, contemporaneously recorded, original or a true copy, accurate, complete, consistent, enduring, and available (ALCOA+). These principles ensure that data remains reliable and valid for regulatory and operational purposes.