When it comes to balancing data minimization and data quality under GDPR, organizations must strike a delicate equilibrium. Here’s how you can achieve this:
1. Implement Data Minimization:
- Only collect data that is necessary for the specified purpose.
- Regularly review and purge unnecessary data to reduce storage and security risks.
2. Ensure Data Quality:
- Verify the accuracy and relevance of data collected through validation processes.
- Establish data quality standards and procedures for consistent data maintenance.
3. Maintain Transparency:
- Inform individuals about the data collected and their rights under GDPR.
- Obtain explicit consent for data processing activities.
By following these practices, organizations can effectively balance data minimization and data quality under GDPR, ensuring compliance with regulations and protecting individuals’ data privacy.
