dataotiminisering
Dataotiminisering is a term used in data governance and privacy discourse to describe the systematic reduction of data collection, retention, and processing to what is strictly necessary for a stated purpose. The concept emphasizes minimizing personal data exposure, enhancing security, and reducing operational costs by avoiding unnecessary data handling. While not widely adopted as a formal standard, dataotiminisering aligns with the broader principle of data minimization found in privacy regulations and privacy-by-design practices.
Core principles include purpose limitation, minimal data collection, on-device or edge processing when feasible, timely deletion,
Applications span privacy-preserving analytics, improved security posture, and cost reductions in data storage and processing. In
See also data minimization, privacy by design, differential privacy, and secure multi-party computation.