1. Lawfulness, Fairness, and Transparency
Data processing must be lawful, fair, and transparent to the individual whose data is being processed. Organizations must inform individuals about the purpose of data processing, the legal basis for processing, and how their data will be used. Consent, where required, must be obtained in a manner that is clear and understandable. Transparency means providing individuals with accessible information about how their data is collected, stored, and processed.
2. Purpose Limitation
Personal data should be collected for specified, legitimate purposes and not processed in ways that are incompatible with those purposes. Organizations must ensure that they clearly define the reasons for data collection upfront, and any further use of the data must align with those purposes. For example, data collected for marketing purposes cannot later be used for unrelated purposes, such as research, without the individual’s consent.
3. Data Minimization
The principle of data minimization ensures that only the minimum necessary personal data is collected for the specific purpose. Organizations must avoid collecting excessive amounts of data, focusing on what is essential for their needs. This principle encourages organizations to rethink their data collection practices, limiting unnecessary personal data to reduce privacy risks.
4. Accuracy
Personal data must be GDP Certification process in Malaysia, where necessary, kept up to date. Organizations must take reasonable steps to ensure that inaccurate data is rectified or erased. This is especially important when decisions are made based on the data, as outdated or incorrect information could negatively impact individuals.
5. Storage Limitation
Personal 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. Once the data is no longer needed, it should be securely deleted or anonymized. This principle encourages organizations to establish clear retention policies and ensures that personal data isn’t kept indefinitely.
6. Integrity and Confidentiality (Security)
Data must be processed in a manner that ensures integrity and confidentiality. Organizations must implement appropriate technical GDP Certification Consultants in Malaysia and organizational measures to safeguard personal data against unauthorized access, accidental loss, destruction, or damage. This includes employing encryption, access controls, and secure data storage practices.
7. Accountability
Organizations are required to demonstrate compliance with the GDPR principles. This means keeping records of data processing activities, conducting Data Protection Impact Assessments (DPIAs), and maintaining transparency in data handling practices. The accountability principle emphasizes that data controllers are responsible for ensuring that personal data is handled in compliance with GDPR.
Conclusion
These principles are essential for ensuring that personal data is processed in a manner that respects individuals' privacy rights. GDP Consultant Services in Malaysia By adhering to these principles, organizations can foster trust with consumers, minimize the risks of data breaches, and maintain compliance with GDPR, ultimately safeguarding both their reputation and the privacy of individuals.