Designing Interoperable Microservices for Public-Private Collaboration in U.S. Biomedical Research
Keywords:
Microservices, Public-Private Collaboration, Biomedical Research, Interoperability, Node.js, .NET Core, AWS API Gateway, Apache Kafka, Role-Based Access Control RBACAbstract
Public-private collaboration in biomedical research necessitates secure, scalable, and interoperable software systems that facilitate data exchange and coordinated workflows. This paper proposes a microservice-based architecture leveraging Node.js/.NET Core APIs, AWS API Gateway, and Kafka for event-driven communication to enhance interoperability across biomedical research platforms. It incorporates role-based access control RBAC to ensure secure data governance and enforces site-level data standardization for harmonized integration across research institutions. A layered approach to microservice orchestration enables seamless data and workflow coordination between government agencies, academic centers, and private sector partners. We present architectural patterns, implementation strategies, and deployment models that support collaborative research while meeting regulatory and operational constraints. A case study illustrates the practical application of this architecture in a multisite genomics research initiative.
References
[1] H. Dai, H. P. Young, T. J. S. Durant, G. Gong, M. Kang, H. M. Krumholz, W. L. Schulz, and L. Jiang, “TrialChain: A blockchain-based platform to validate data integrity in large, biomedical research studies,” arXiv preprint arXiv:1807.03612, 2018. [Online]. Available: https://arxiv.org/abs/1807.03612
[2] HashiCorp, Terraform by HashiCorp, 2021. [Online]. Available: https://www.terraform.io/
[3] Istio Authors, “Istio performance and scalability overview,” Istio Documentation, 2024. [Online]. Available: https://istio.io/latest/docs/performance-and-scalability/
[4] Y. Yang, Q. Zu, P. Liu, D. Ouyang, and X. Li, “MicroShare: Privacy-preserved medical resource sharing through microservice architecture,” arXiv preprint arXiv:1806.02134, 2018. [Online]. Available: https://arxiv.org/abs/1806.02134
[5] Amazon Web Services, AWS CloudFormation Documentation, 2023. [Online]. Available: https://docs.aws.amazon.com/cloudformation/
[6] Amazon Web Services, Amazon CloudWatch Documentation, 2023. [Online]. Available: https://docs.aws.amazon.com/cloudwatch/
[7] Prometheus Authors, Prometheus: Monitoring system & time series database, 2023. [Online]. Available: https://prometheus.io/
[8] Grafana Labs, Grafana Documentation, 2023. [Online]. Available: https://grafana.com/docs/
[9] Elasticsearch B.V., The ELK Stack [9],[14], 2023. [Online]. Available:
[10] Kubernetes Authors, Kubernetes Documentation, 2023. [Online]. Available: https://kubernetes.io/docs/
[11] Confluent Inc., Schema Registry Overview, 2023. [Online]. Available: https://docs.confluent.io/platform/current/schema-registry/index.html
[12] Kubernetes Authors, Production-Grade Container Orchestration, 2023. [Online]. Available: https://kubernetes.io/
[13] Grafana Labs, Grafana: The Open Observability Platform, 2023. [Online]. Available: https://grafana.com/
[14] Elasticsearch B.V., ELK Stack Documentation, 2023. [Online]. Available: https://www.elastic.co/what-is/elk-stack
[15] Hystrix Authors, Hystrix: Latency and Fault Tolerance for Distributed Systems, 2020. [Online]. Available: https://github.com/Netflix/Hystrix
[16] H. Zhang, Y. Li, L. Wang, Z. Yang, and J. Li, “Blockchain and Healthcare: Opportunities and Prospects for the EHR,” Sustainability, vol. 12, no. 22, article 9693, 2020. [Online]. Available: https://www.mdpi.com/2071-1050/12/22/9693
[17] O. Choudhury et al., “A Blockchain Framework for Managing and Monitoring Data in Multi Site Clinical Trials,” arXiv preprint arXiv:1902.03975, 2019. [Online]. Available: https://arxiv.org/abs/1902.03975
[18] J. Oakley et al., “Scrybe: A Secure Audit Trail for Clinical Trial Data Fusion,” arXiv preprint arXiv:2109.05649, 2021. [Online]. Available: https://arxiv.org/abs/2109.05649
[19] A. Awad et al., “Building Trust in Healthcare with Privacy Techniques: Blockchain in Clinical Research,” arXiv preprint arXiv:2504.20700, 2025. [Online]. Available: https://arxiv.org/abs/2504.20700
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