Privacy And Data Protection Questions Medium
The key principles of data protection are as follows:
1. Lawfulness, fairness, and transparency: Data processing should be done in accordance with the law, ensuring fairness and transparency to the individuals whose data is being processed.
2. Purpose limitation: Data should be collected for specified, explicit, and legitimate purposes. It should not be further processed in a manner incompatible with those purposes.
3. Data minimization: Only the necessary and relevant data should be collected and processed. Data controllers should avoid excessive or unnecessary data collection.
4. Accuracy: Data should be accurate and kept up to date. Appropriate measures should be taken to rectify or erase inaccurate or incomplete data.
5. Storage limitation: Data should be kept in a form that allows identification of individuals for no longer than necessary for the purposes for which it was collected.
6. Integrity and confidentiality: Data should be processed in a manner that ensures its security, including protection against unauthorized or unlawful processing, accidental loss, destruction, or damage.
7. Accountability: Data controllers are responsible for complying with data protection laws and must be able to demonstrate their compliance. They should implement appropriate technical and organizational measures to ensure data protection.
These principles are fundamental to safeguarding individuals' privacy and ensuring the responsible handling of personal data in various contexts, such as government agencies, businesses, and other organizations.