Which of the following is NOT one of the data protection principles?

Data protection principles are critical guidelines that govern how personal data should be handled. Among these principles, data minimization, accuracy, and accountability play significant roles in ensuring that organizations maintain the integrity and reliability of personal information.

Data minimization refers to the idea that organizations should only collect and process the personal data necessary for the specific purposes for which they are collecting it. This principle aims to reduce risks associated with data processing and protect individuals’ privacy.

Accuracy emphasizes the importance of keeping personal data accurate and up-to-date. Organizations are required to take reasonable steps to ensure that any inaccurate data is rectified or deleted, as maintaining accurate data prevents harm to individuals and ensures compliance with legal obligations.

Accountability involves holding organizations responsible for their data handling practices. They must be able to demonstrate compliance with data protection laws, ensuring that proper policies and procedures are in place to protect personal information.

In contrast, while data accessibility is important in the context of providing individuals with access to their personal data, it does not constitute one of the recognized foundational principles of data protection. Instead, the focus is on principles that guide the lawful and fair processing of data, making accountability, data minimization, and accuracy the key principles in this context.