What principle emphasizes fairness and transparency in data processing?

The principle that emphasizes fairness and transparency in data processing is best represented by lawfulness. Lawfulness requires that organizations process personal data in a manner that is not only compliant with applicable laws but also fair to the data subjects. This principle entails informing individuals about how their personal data will be used, ensuring they are aware of their rights, and processing their data only for legitimate purposes.

In this context, fairness means that individuals should not be misled about how their data will be utilized. Transparency involves clear communication regarding the data processing activities, enabling data subjects to make informed decisions. Together, these aspects of lawfulness serve to build trust between individuals and organizations handling their data.

The other principles mentioned, such as integrity and confidentiality, purpose limitation, and data minimization, play crucial roles in data protection as well but focus on different aspects. For instance, integrity and confidentiality relate to the security of the data, purpose limitation refers to ensuring data is used only for specified, legitimate purposes, and data minimization emphasizes limiting the data collected to only what is necessary. However, it is lawfulness that is directly aligned with the concepts of fairness and transparency in how data is processed.