What principle ensures that data should not be processed in ways that are incompatible with the stated purposes?

The principle that guarantees data should not be processed in ways that are incompatible with the stated purposes is known as purpose limitation. This principle is fundamental in data protection and privacy legislation, such as the General Data Protection Regulation (GDPR). It ensures that organizations clearly specify the intention behind collecting personal data and restrict its use strictly to those predefined goals.

By adhering to the purpose limitation principle, entities are compelled to be transparent about their data practices, fostering trust and accountability. This principle protects individuals from potential misuse of their data for unrelated or unforeseen purposes, upholding the rights and freedoms of data subjects. Consequently, this aspect of data governance helps maintain the integrity of data processing activities in line with users' expectations and consent.

Other principles, such as data accuracy, data minimization, and accountability, also play important roles in the context of data handling but focus on different aspects of data management. Data accuracy emphasizes the need for personal data to be correct and kept up-to-date, data minimization advocates for only collecting data necessary for the intended purpose, and accountability pertains to the responsibility of organizations to comply with data protection laws. While these principles are integral to a comprehensive data protection framework, it is purpose limitation that specifically addresses the compatibility of data processing with originally