This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.

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Personal data: information relating to an identified or identifiable natural person.
A. Personal data is any information relating to an identified or identifiable natural person (data subject). An identifiable person is one who can be identified directly or indirectly, e.g., by name, ID number, location data, online ID, or factors specific to physical, physiological, genetic, mental, economic, cultural, or social identity.
Personal data: information relating to an identified or identifiable natural person.
B. Yes, you should consider whether your research data contains personal data. If it does, data protection rules (e.g., consent, storage limitation, security) apply even when archiving.
Yes, check for and protect any personal data in archived research data.
C. Sensitive personal data (special categories of personal data) reveals racial/ethnic origin, political opinions, religious/philosophical beliefs, trade union membership, genetic data, biometric data for ID purposes, health data, or data concerning sex life/sexual orientation.
Sensitive personal data: special categories revealing race/ethnicity, politics, religion, etc., genetics, biometrics, health, sex life.
D. Yes. Personal data is broader (any info relating to identifiable person). Sensitive personal data is a subset requiring higher protection (explicit consent or other strict conditions).
Yes, sensitive PD is a stricter subset of personal data.
E. No. Truly anonymized data is no longer personal data, as the individual cannot be identified (directly or indirectly). No data protection rules apply.
No, if truly anonymized.
F. Anonymous data: cannot be linked to any identifiable person, even with extra information. Pseudonymous data: personal data processed to replace identifiers with pseudonyms, but can be re-identified with additional info (still personal data, needs protection).
Anonymous: irreversible, no re-identification possible. Pseudonymous: reversible with extra info, still personal data.}
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A. Personal data is any information relating to an identified or identifiable natural person (data subject).
This computer science problem involves algorithmic thinking and programming concepts. The solution below explains the approach, logic, and implementation step by step.