CDPR

1. Key Principles of GDPR

• Lawfulness, fairness, and transparency: Data processing must be lawful, fair, and transparent.
• Purpose limitation: Data can only be collected and used for specific, explicit, and legitimate purposes, and cannot be further processed in a way incompatible with those purposes.
• Data minimization: Only the minimum amount of data necessary for the processing purposes should be collected.
• Accuracy: Data should be accurate and kept up to date.
• Storage limitation: Data should be stored only for as long as necessary.
• Integrity and confidentiality: Data should be protected from unauthorized access, use, or disclosure.
• Accountability: Data controllers must be able to demonstrate compliance with GDPR.

2. Data Subject Rights

• Right of access: To know whether their personal data is being processed and how it is being processed.
• Right to rectification: To request correction of inaccurate data.
• Right to erasure ("right to be forgotten"): To request deletion of their personal data in certain circumstances.
• Right to restriction of processing: To request restriction of processing of their data in certain circumstances.
• Right to object: To object to the processing of their data in certain circumstances.
• Right to data portability: To receive their data in a portable format.
• Right to withdraw consent: To withdraw their consent to data processing.

GDPR has a significant impact on companies and organizations that process personal data. They need to:

• Ensure that their data processing activities are lawful and compliant.
• Implement appropriate technical and organizational measures to protect personal data.
• Provide clear information and notification to data subjects.
• Respond to data subject rights requests.
• Take appropriate action in the event of a data breach.

In short, GDPR aims to strengthen the protection of personal data by giving individuals more rights and control over their data, and by imposing strict obligations on companies and organizations that process personal data.

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