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Creating cloud platforms for supporting FAIR data management in biomedical research projects.

Marcel Jentsch1, Valentin Schneider-Lunitz1, Ulrike Taron1

  • 1Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Center of Digital Health, Berlin, 10117, Germany.

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Summary
This summary is machine-generated.

Researchers can build customized cloud platforms for biomedical data management using a flexible, cost-effective microservice approach. This method supports data lifecycle and FAIR principles, offering advantages over shared platforms.

Keywords:
CloudFAIRbioinformaticsdata managementdata scienceplatforms

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Area of Science:

  • Biomedical informatics
  • Cloud computing in research
  • Data management

Background:

  • Biomedical research complexity necessitates advanced technological solutions.
  • FAIR principles (Findable, Accessible, Interoperable, Reusable) are crucial for modern research data.
  • Existing multi-project platforms may not meet specific research needs.

Purpose of the Study:

  • To present a flexible and cost-effective approach for building customized cloud platforms for biomedical research.
  • To demonstrate the advantages of customized cloud platforms over multi-project solutions.
  • To highlight the transferability and adaptability of the developed approach.

Main Methods:

  • Development of a microservice architecture for cloud platform construction.
  • Management of a portfolio of supported services.
  • Creation and maintenance of cloud platforms for international research projects.

Main Results:

  • Successfully established customized cloud platforms supporting multiple international research projects.
  • Demonstrated the flexibility and cost-effectiveness of the microservice-based approach.
  • Identified multiple advantages of customized platforms compared to multi-project alternatives.

Conclusions:

  • Customized cloud platforms offer significant benefits for complex biomedical research.
  • The presented microservice-based approach is transferable and adaptable to diverse research environments.
  • This strategy enhances support for the entire data lifecycle and FAIR data principles.