What Are the Best Practices for Implementing Data Lakes in Epidemiology?
To successfully implement data lakes in epidemiology, it is essential to adopt best practices such as:
Data Governance: Establish policies and procedures to ensure data integrity and compliance with regulatory standards. Interoperability: Use standards and protocols that facilitate data sharing and integration across various systems. Scalability: Design the data lake architecture to scale with increasing data volumes and analytical demands. Security: Implement robust security measures to protect sensitive health data from unauthorized access and breaches.
