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Related Experiment Video

Updated: Jun 19, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data

Published on: December 9, 2015

Big Multiple Sclerosis Data network: an international registry research network.

Anna Glaser¹, Helmut Butzkueven², Anneke van der Walt³

¹Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden.

Journal of Neurology

|April 1, 2024

Summary

The Big Multiple Sclerosis Data (BMSD) network enables collaborative real-world evidence research by pooling international registry data. BMSD overcomes data sharing challenges to advance multiple sclerosis (MS) studies.

Keywords:

Multiple sclerosis Patient data network Patient registries Real-world evidence

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Last Updated: Jun 19, 2026

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Area of Science:

Neurology
Data Science
Public Health

Background:

The Big Multiple Sclerosis Data (BMSD) network, established in 2014, integrates multiple sclerosis (MS) registries from multiple countries and the international MSBase registry.
BMSD has successfully navigated ethical, legal, technical, and governance challenges for data sharing, demonstrating its collaborative framework through three scientific publications on pooled datasets.

Purpose of the Study:

To establish a robust framework for collaborative real-world evidence (RWE) research in multiple sclerosis (MS).
To facilitate joint analysis of data from independent MS registries.
To advance the generation and utilization of RWE in the field of MS.

Main Methods:

Federated data analysis procedures developed to overcome data sharing challenges across independently operating registries.
Development of a unifying core data model for project-specific data models, enabling joint analysis despite different platforms.
Consensus-driven modifications in adverse event data collection across registries, showcasing coordinated development.

Main Results:

Successful proof-of-concept for collaborative design through pooled dataset analyses.
Demonstrated ability to coordinate data collection modifications through consensus decisions.
Established procedures for federated data analysis to enable joint research.

Conclusions:

BMSD is actively seeking European Medicines Agency (EMA) qualification for post-authorization safety studies (PASS) and effectiveness studies (PAES).
The network aims to significantly contribute to the advancement of real-world evidence research in multiple sclerosis.
BMSD's infrastructure and collaborative approach position it as a key player in future MS research.