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Questions and Answers
What is the primary objective of the 'storage limitation' principle?
What is the primary objective of the 'storage limitation' principle?
What is necessary to ensure the lawfulness of personal data processing?
What is necessary to ensure the lawfulness of personal data processing?
What is the primary objective of the 'integrity and confidentiality' principle?
What is the primary objective of the 'integrity and confidentiality' principle?
What is required to demonstrate compliance with the 'accountability' principle?
What is required to demonstrate compliance with the 'accountability' principle?
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What is the primary objective of the 'accuracy' principle?
What is the primary objective of the 'accuracy' principle?
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What is the primary objective of the 'fairness' principle?
What is the primary objective of the 'fairness' principle?
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What is the primary objective of the 'purpose limitation' principle?
What is the primary objective of the 'purpose limitation' principle?
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What is necessary to ensure the 'data minimisation' principle?
What is necessary to ensure the 'data minimisation' principle?
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What is a key consideration when determining if data qualifies as personal?
What is a key consideration when determining if data qualifies as personal?
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What is the significance of the 'no requirement for singular control' concept?
What is the significance of the 'no requirement for singular control' concept?
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Under what circumstance may data not be considered personal?
Under what circumstance may data not be considered personal?
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What is the primary purpose of considering 'reasonable means of identification'?
What is the primary purpose of considering 'reasonable means of identification'?
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Why is it essential to consider the means of identification when determining if data is personal?
Why is it essential to consider the means of identification when determining if data is personal?
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What is the implication of data being considered personal?
What is the implication of data being considered personal?
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What is a key principle related to the processing of personal data?
What is a key principle related to the processing of personal data?
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Why is it essential to assess the effort required for identification?
Why is it essential to assess the effort required for identification?
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What is the primary goal of data minimization in relation to personal data?
What is the primary goal of data minimization in relation to personal data?
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What is the main advantage of implementing storage limitation principle in personal data management?
What is the main advantage of implementing storage limitation principle in personal data management?
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What is the primary objective of the integrity and confidentiality principle in personal data processing?
What is the primary objective of the integrity and confidentiality principle in personal data processing?
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What is the purpose of anonymization and pseudonymization in personal data processing?
What is the purpose of anonymization and pseudonymization in personal data processing?
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What is the consequence of not implementing the storage limitation principle in personal data management?
What is the consequence of not implementing the storage limitation principle in personal data management?
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What is the primary requirement for controllers in ensuring the accuracy principle of personal data?
What is the primary requirement for controllers in ensuring the accuracy principle of personal data?
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What is the purpose of establishing time limits for data storage in personal data management?
What is the purpose of establishing time limits for data storage in personal data management?
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What is the primary goal of technical and organizational measures in personal data processing?
What is the primary goal of technical and organizational measures in personal data processing?
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Study Notes
Data Minimization
- Personal data must be adequate, relevant, and limited to what is necessary, with technical and organizational measures to ensure this, including anonymization, pseudonymization, privacy by design and default.
- Data should be limited in quality, quantity, and storage, with excess data being deleted as soon as possible, reducing the risk of data breaches and making data management more efficient.
Accuracy
- Personal data should be accurate and kept up to date, reflecting reality, with erroneous data erased or rectified without delay.
- Controllers must take reasonable steps to ensure data accuracy and update data accordingly, respecting the integrity and confidentiality principle.
Storage Limitation
- Data storage periods should be limited to a strict minimum, with personal data kept in a form that permits identification of data subjects for no longer than necessary.
- Time limits should be established for erasure or periodic review, with exceptions for archiving, scientific, historical research, or statistical purposes.
Integrity and Confidentiality
- Personal data should be processed to ensure appropriate security, protecting against unauthorized or unlawful processing, and accidental loss, destruction, or damage, using appropriate technical and organizational measures.
Lawfulness, Fairness, and Transparency
- Processing of personal data is lawful if it respects all applicable legal requirements, pursuing a legitimate purpose, and is necessary and proportionate in a democratic society.
Personal Data
- Data can still be considered personal even if the controller cannot directly connect it to a particular individual without additional information from other sources.
- It is not necessary for all information needed to identify an individual to be held by a single person or entity, and information from various sources can be combined to identify the individual.
- Reasonable means of identification are considered, taking into account methods that are realistically feasible or likely to be used for identification.
- If identification is prohibited by law or practically impossible due to disproportionate effort, the data may not be considered personal.
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Description
Understand the concept of data minimization in privacy, focusing on the quality, quantity, and storage of personal data, with techniques like anonymization and pseudonymization.
