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Lecture, Presentation, Training materials
HemaFAIR Lecture 8 - Introduction to Federated Analysis of FAIR Data
This lecture, delivered by Dr. Cesar Bernabe and Ms. Daphne Wijnbergen (Leiden University Medical Center), introduces the concept of federated analysis of FAIR data and its role in enabling collaborative research across distributed and privacy-sensitive datasets. The session explains how federated approaches allow data to remain at the local site while analytical workflows are executed in a coordinated manner, thereby ensuring compliance with data protection regulations and institutional governance requirements.
Within the HemaFAIR framework, the lecture demonstrates how FAIR data, common standards and interoperable infrastructures make it possible to perform reproducible, multi-centre analyses without centralising sensitive health data. It presents the technical and organisational components required for federated analysis, including metadata, standardised data models, secure computing environments and workflow orchestration, and highlights their application in rare disease and haemoglobinopathy research.
DOI: https://doi.org/10.5281/zenodo.15233616
Licence: Creative Commons Attribution 4.0 International
Contact: Dr Sotiroula Chatzimatthaiou at sotiroula@cing.ac.cy
Keywords: FAIR principles, Research Data Management, Open Science, Data sharing, Data reuse, Metadata, European research projects, HemaFAIR, Federated Analysis, Rare Diseases, Federated Data
Target audience: Researchers, Data Scientist, Data stewards, Data managers, Students
Resource type: Lecture, Presentation, Training materials
Version: 1
Status: Active
Prerequisites:
No prerequisites. This material is intended as a first introduction to the Biomedical Ontologies
Learning objectives:
-Explain the principles of federated data analysis and how it differs from centralised approaches
-Describe how FAIR data enables distributed and reproducible research workflows
-Understand how privacy, governance and data-access constraints are addressed in federated infrastructures
-Identify the technical components required for federated analysis (e.g. local nodes, common data models, secure execution environments)
-Recognise the benefits of federated analysis for multi-centre studies in rare disease research
-Describe the role of federated approaches in the research of rare diseases
Date published: 2025-03-11
Contributors: Marco Roos, Petros Kountouris
Scientific topics: FAIR data, Data management, Open science
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