What does 'data minimization' refer to in the context of the Proof Platform?

Data minimization in the context of the Proof Platform refers to the practice of collecting only the essential information necessary for a specific purpose, such as identity verification. This principle is rooted in privacy and data protection regulations, which advocate for limiting the amount of personal data gathered to what is strictly required for achieving the intended outcome. By focusing on essential data, organizations can reduce risks associated with data breaches and enhance user trust, as individuals are more likely to engage with platforms that respect their privacy.

The other options reflect approaches that do not align with the data minimization principle. Collecting as much data as possible contradicts the intent of minimizing data exposure and potential misuse. Using data for marketing purposes often involves gathering more personal information than is necessary, which goes against the concept of only capturing essential data. Lastly, storing all collected data indefinitely is antithetical to the idea of minimizing data, as it contributes to unnecessary accumulation and increases the risk associated with data retention.