What principle is referred to as "data minimization"?

Data minimization is a principle that emphasizes the importance of limiting data collection to the minimum amount necessary for a specific purpose. This approach aligns with privacy best practices and regulatory frameworks, such as the General Data Protection Regulation (GDPR) and various U.S. privacy laws, which advocate for collecting only the data that is essential for achieving a defined objective.

By adhering to data minimization, organizations can reduce the risk of unauthorized access, data breaches, and potential misuse of personal information. The principle encourages responsible handling of personal data, ensuring individuals' privacy is safeguarded while also complying with legal obligations. In this context, focusing on collecting only what is essential fosters trust between consumers and organizations, as it demonstrates a commitment to safeguarding personal information and respecting individuals' privacy rights.