What is the data minimization principle?

Prepare for the SAI Member-in-Training Exam. Test your knowledge with flashcards and various questions, each offering hints and explanations. Ensure success in your SAI journey!

Multiple Choice

What is the data minimization principle?

Explanation:
Data minimization means you collect only what you truly need to achieve a defined purpose and you keep that data only as long as necessary. This approach reduces privacy risk, makes compliance easier, and keeps data management simpler. The best option expresses this: gather just the data required for a specific purpose and retain it only as long as needed. For example, if you’re processing a single transaction, you might collect only what’s necessary for that payment and delete it after, rather than storing extra details forever. Collecting excessive data, keeping it indefinitely, or sharing it with others without a real need increases risk and goes beyond what this principle allows. If more data is later required for another purpose, it should be collected under a clear, justified need and with appropriate controls.

Data minimization means you collect only what you truly need to achieve a defined purpose and you keep that data only as long as necessary. This approach reduces privacy risk, makes compliance easier, and keeps data management simpler. The best option expresses this: gather just the data required for a specific purpose and retain it only as long as needed. For example, if you’re processing a single transaction, you might collect only what’s necessary for that payment and delete it after, rather than storing extra details forever. Collecting excessive data, keeping it indefinitely, or sharing it with others without a real need increases risk and goes beyond what this principle allows. If more data is later required for another purpose, it should be collected under a clear, justified need and with appropriate controls.

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