Patterns — minimization
Data minimization is the principle of collecting less personal data or less specific data and retaining specific data for a shorter period of time in order to decrease privacy risks.
Data minimization techniques can decrease the risk of unexpected later access — through a security breach or lawful access request, for example — provide demonstrable clarity of data handling practices and remove the burdens of safe-guarding sensitive data.
- Data Minimization in Web APIs, World Wide Web Consortium Technical Architecture Group
Support minimization of data collection and distribution. Important when a service is collecting location data from or about a user, or transmitting location data about a user to a third-party.
Strip Invisible Metadata
Strip potentially sensitive metadata that isn't directly visible to the end user.