A comprehensive approach that incorporates the below practices is needed. They are :

1. Data Anonymization

Remove personally identifiable information from datasets so individuals cannot be readily identified and apply data masking and tokenization.

1. Encryption

Encrypt data using encryption protocols (e.g., TLS/SSL) to protect it from unauthorized access.

1. Access Control

• Role-Based Access Control : Grant access based on user roles.
• Least Privilege Principle: Ensure users have the minimum level of access.
• Maintain Audit Logs

1. Data Quality Management processes to maintain the accuracy, completeness, and consistency of data.
2. Compliance with Legal and Regulatory Requirements

• HIPAA (Health Insurance Portability and Accountability Act): For healthcare data, ensure compliance with HIPAA regulations regarding the protection of patient information.
• FERPA (Family Educational Rights and Privacy Act): For educational data, comply with FERPA regulations that protect student privacy.

1. Incorporate Security and Privacy-by-Design using privacy-preserving ML measures.
2. Regular security Audits and privacy Risk Assessments
3. Employee Training and awareness Programs about the latest threats.
4. Incident Response Planning to address data and security breaches.

The incident response plan is regularly tested through simulations and test drills.

By implementing these best practices, they can ensure compliance and maintain the trust of their stakeholders.