Which GDPR principle ensures the accuracy of personal data?

Which GDPR principle ensures the accuracy of personal data?

• A. Lawfulness and Fairness
• B. Data Minimization
• C. Storage Limitation
• D. Accuracy

Answer: (D)

The principle that ensures the accuracy of personal data under GDPR is the principle of accuracy itself. This principle mandates that personal data must be accurate and, where necessary, kept up to date. The regulation emphasizes that organizations are responsible for taking reasonable steps to ensure that inaccurate data is rectified or erased without undue delay. This is crucial because inaccurate personal data can lead to severe consequences for individuals, including loss of rights or protection. By establishing accuracy as a fundamental principle, the GDPR aims to protect individuals' privacy and ensure that organizations handle personal data responsibly. This principle emphasizes the importance of data quality, thus fostering trust in data processing activities. In contrast, the other options focus on different aspects of data protection, such as the legality of data processing (Lawfulness and Fairness), minimizing the amount of data collected (Data Minimization), and limiting the time period for which data is stored (Storage Limitation), but none specifically address the need for accuracy.

The principle that ensures the accuracy of personal data under GDPR is the principle of accuracy itself. This principle mandates that personal data must be accurate and, where necessary, kept up to date. The regulation emphasizes that organizations are responsible for taking reasonable steps to ensure that inaccurate data is rectified or erased without undue delay. This is crucial because inaccurate personal data can lead to severe consequences for individuals, including loss of rights or protection.

By establishing accuracy as a fundamental principle, the GDPR aims to protect individuals' privacy and ensure that organizations handle personal data responsibly. This principle emphasizes the importance of data quality, thus fostering trust in data processing activities. In contrast, the other options focus on different aspects of data protection, such as the legality of data processing (Lawfulness and Fairness), minimizing the amount of data collected (Data Minimization), and limiting the time period for which data is stored (Storage Limitation), but none specifically address the need for accuracy.