We’re excited to share a new webinar series to help the hemoglobinopathy community understand key data-driven approaches shaping the future of biomedical research and healthcare.
This series, focuses on the Semantic Web and Federated Learning, explored in close relation to FAIR principles (Findable, Accessible, Interoperable, and Reusable). Together, these concepts provide a foundation for enabling more effective, secure, and collaborative use of health data.
Why this series matters
The hemoglobinopathy sector, including clinicians, researchers, laboratory professionals, and policymakers, depends on high-quality, well-structured data to improve diagnosis, treatment, and patient outcomes. However, data are often fragmented, difficult to integrate, and constrained by privacy regulations.
This webinar series explains how combining Semantic Web technologies and Federated Learning approaches, grounded in FAIR principles, can:
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Enable interoperable and machine-readable data across systems
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Support secure analysis of distributed datasets without sharing sensitive data
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Facilitate cross-border and multi-institutional collaboration
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Improve data reuse and knowledge discovery in rare disease research
Meet the experts
The series features leading experts, including:
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Francesco Cremonesi (INRIA), introducing federated analysis and its role in privacy-preserving collaboration
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Dr. Andra Waagmeester (Amsterdam UMC), presenting how Semantic Web technologies enable data integration and knowledge representation
Each session is designed to be accessible and relevant for both technical and non-technical audiences.
Building towards the HemaFAIR Training School
This webinar series also serves as a stepping stone toward the upcoming
Federated Data Analysis Training School and Hackathon
https://hemafairproject.eu/event/federated-data-analysis-training-school-hackathon/
By introducing core concepts in advance, the series helps participants build the foundational knowledge needed to fully benefit from the hands-on training and collaborative activities that will take place during the event.
Supporting better care through better data
By aligning Semantic Web and Federated Learning approaches with FAIR principles, the hemoglobinopathy community can move toward more connected, efficient, and privacy-aware research ecosystems.
This will help unlock the potential of distributed health data and contribute to improved research outcomes and better patient care.