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Research collaboration data platform ensuring general data protection.

Monica Toma1, Caroline Bönisch2,3, Benjamin Löhnhardt4

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|May 24, 2024
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Summary
This summary is machine-generated.

This research introduces a secure data platform for medical research, enabling the sharing of omics and electronic health records (EHR) data to advance big data and AI in medicine while protecting patient privacy.

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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.