This paper is in the following e-collection/theme issue:

Research Infrastructures and Registries (59) Data Science (270) Big Data (240) eHealth Infrastructures (345) Electronic Health Records (1053) Health Information Exchange (98) Information Models (28) Ontologies, Classifications, and Coding (239) Advanced Data Analytics in eHealth (133)

Published on in Vol 11 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48030, first published .
The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research

The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research

The Journey of Data Within a Global Data Sharing Initiative: A Federated 3-Layer Data Analysis Pipeline to Scale Up Multiple Sclerosis Research

Authors of this article:

Ashkan Pirmani1, 2, 3, 4 Author Orcid Image ;   Edward De Brouwer1 Author Orcid Image ;   Lotte Geys2, 3, 4 Author Orcid Image ;   Tina Parciak2, 3, 4 Author Orcid Image ;   Yves Moreau1 Author Orcid Image ;   Liesbet M Peeters2, 3, 4 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Pirmani A, Oldenhof M, Peeters L, De Brouwer E, Moreau Y. Accessible Ecosystem for Clinical Research (Federated Learning for Everyone): Development and Usability Study. JMIR Formative Research 2024;8:e55496 View
  2. Bebo B, Banwell B, Whitacre C, Coetzee T, Dalgas U, De Jager P, Proebstel A, Yong V, Benveniste E, Thompson A. The refined Pathways to Cures Research Roadmap for multiple sclerosis cures. Multiple Sclerosis Journal 2024;30(10):1242 View