The 7 Principles of Data Protection

While respecting a data subject’s data privacy, organizations must uphold the following fundamental principles of the processing of personal data:

  1. Lawfulness, fairness, and transparency: This principle requires organizations to process personal data lawfully, fairly, and in a transparent manner.
  2. Purpose limitation: This principle requires organizations to process personal data only for specified, explicit, and legitimate purposes.
  3. Data minimization:This principle requires organizations to collect the data adequate, relevant, and limited to what is necessary for the purposes for which they are processed.
  4. Accuracy: This principle requires organizations to keep the data accurate and take reasonable steps to ensure that inaccurate personal data has been erased or rectified.
  5. Storage limitation: This principle requires organizations to keep the data in a form that permits the identification of data subjects for no longer than is necessary for the purposes for which the personal data are processed.
  6. Integrity and confidentiality:This principle requires organizations to ensure an appropriate security of the personal data and protect it against unauthorized or unlawful processing, security incidents, or personal data breaches.
  7. Accountability:This principle holds organizations responsible for the protection of personal data. Organizations must be able to demonstrate compliance with the applicable legal requirements.
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