Research collaboration data platform ensuring general data protection.

Area of Science:

• Medical Informatics
• Bioinformatics
• Data Science

Background:

• Translational data is crucial for medical research and innovation.
• Protecting personal data is essential while utilizing it for research.
• Big data and artificial intelligence hold significant promise for medical advancements.

Purpose of the Study:

• To propose a data platform for secure and compliant sharing of medical research data.
• To facilitate the collection and re-use of diverse omics data and electronic health records (EHR).
• To enable reliable data transfer between institutions for multi-site research.

Main Methods:

• Development of a secure data platform.
• Implementation of data transfer protocols for omics and EHR data.
• Establishment of compliant data governance frameworks.

Main Results:

• A functional data platform enabling collaboration between public and commercial organizations.
• Successful data transfer from various clinical systems to a cloud-based environment.
• Ensured compliant data governance for multi-site research.

Conclusions:

• The proposed data platform supports the advancement of big data and AI in medical research.
• The platform facilitates secure data sharing and collaboration while maintaining data protection.
• This infrastructure is vital for multi-site research and clinical innovation.