Creating cloud platforms for supporting FAIR data management in biomedical research projects. [version 3; peer review: 1 approved, 1 approved with reservations]

Biomedical research projects are becoming increasingly complex and require technological solutions that support all phases of the data lifecycle and application of the FAIR principles. At the Berlin Institute of Health (BIH), we have developed and established a flexible and cost-effective approach t...

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Bibliographic Details
Published in:F1000 research 2024, Vol.13, p.8-8
Main Authors: Jentsch, Marcel, Schneider-Lunitz, Valentin, Taron, Ulrike, Braun, Martin, Ishaque, Naveed, Wagener, Harald, Conrad, Christian, Twardziok, Sven
Format: Article
Language:English
Subjects:
Best practice
Biomedical research
Collaboration
Data processing
Datasets
Information sharing
Medical research
Opinion
Principles
Research data management
Scientists
Self evaluation
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Summary:Biomedical research projects are becoming increasingly complex and require technological solutions that support all phases of the data lifecycle and application of the FAIR principles. At the Berlin Institute of Health (BIH), we have developed and established a flexible and cost-effective approach to building customized cloud platforms for supporting research projects. The approach is based on a microservice architecture and on the management of a portfolio of supported services. On this basis, we created and maintained cloud platforms for several international research projects. In this article, we present our approach and argue that building customized cloud platforms can offer multiple advantages over using multi-project platforms. Our approach is transferable to other research environments and can be easily adapted by other projects and other service providers.
ISSN:2046-1402
2046-1402
DOI:10.12688/f1000research.140624.3