What does data minimization entail in TA data handling?

• A. Collect all available data to maximize analysis.
• B. Retain data indefinitely regardless of purpose.
• C. Encrypt data but keep full dataset.
• D. Collect and retain only data strictly necessary for defined purpose; reduces exposure and compliance risk.

Answer: (D)

Data minimization in TA data handling means collecting and keeping only what is strictly necessary to achieve a defined purpose, and nothing more. In practice, you identify exactly which data elements are needed to accomplish the objective, gather only those, and retain them only for as long as they’re required. This approach directly reduces exposure and compliance risk because less data means fewer opportunities for misuse, leakage, or unauthorized access, and it simplifies meeting privacy and regulatory requirements.

That’s why the best answer describes collecting and retaining only data strictly necessary for the defined purpose; it embodies purpose limitation and risk reduction. Other approaches—collecting everything, keeping data indefinitely, or simply encrypting a full dataset—still maintain excess data and vulnerabilities, even if additional protections are added. Implementing data minimization also involves practical steps like defining the purpose, performing a data inventory, limiting collection to needed elements, applying retention schedules, and securely deleting data when it’s no longer required.