Architectural Framework for Developing a Healthcare Research Data Repository: A Scalable and Interoperable Approach.

Area of Science:

• Health Informatics
• Biomedical Data Science
• Medical Research Infrastructure

Background:

• Data-driven approaches are crucial for advancing healthcare research.
• Challenges exist in ensuring data security, quality, and interoperability in healthcare data.
• Existing solutions may not adequately address the need for scalable and FAIR-compliant repositories.

Purpose of the Study:

• To propose a scalable architectural framework for a healthcare research data repository.
• To ensure the framework is compliant with FAIR data principles (Findable, Accessible, Interoperable, Reusable).
• To provide a secure and accessible platform for the scientific community.

Main Methods:

• Development of a novel architectural framework for data repositories.
• Integration of robust data governance mechanisms.
• Implementation of security protocols and access controls.

Main Results:

• The proposed framework is scalable and FAIR-compliant.
• It enhances data security, quality, and interoperability.
• Demonstrates a viable solution for managing healthcare research data.

Conclusions:

• The developed framework offers a secure and efficient solution for healthcare research data management.
• It facilitates data sharing and collaboration within the scientific community.
• Supports the advancement of data-driven healthcare research through improved data accessibility and integrity.