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PERSPECTIVE article

Front. Immunol.
Sec. Multiple Sclerosis and Neuroimmunology
Volume 15 - 2024 | doi: 10.3389/fimmu.2024.1461361
This article is part of the Research Topic Use of Big Data and Artificial Intelligence in Multiple Sclerosis View all 3 articles

The arisal of data spaces: why I am excited and worried

Provisionally accepted
Liesbet M. Peeters Liesbet M. Peeters *
  • University of Hasselt, Hasselt, Belgium

The final, formatted version of the article will be published soon.

    is an assistant professor, leading the research group of biomedical data sciences at Hasselt University (Belgium). This research group is affiliated to both the Biomedical Research Institute as well as the Data Science Institute. They are a multidisciplinary team that consist of researchers with a (bio)medical background as well as with a data science background (and everything in between). Together, they make the connections between the two very different worlds of biomedical sciences and data sciences. Their research focuses on investigating how the use of innovative technologies to handle and analyze real-world data can transform our health and care system as well as how to overcome the socio-technical challenges that arise with scaling-up realworld data. Until now, research outputs have focused mainly on multiple sclerosis (MS), but more recently other clinical domains such as cardiovascular disorders, diabetes, risk pregnancies are being explored. Liesbet is the founder and chair of multiple initiatives like the MS Data Alliance, OHDSI Belgium and the MS DataConnect initiative within the University MS Center. Her team is an active contributor within the ELIXIR Belgium consortium, the OHDSI community and she is currently acting as the head of EBRAINS Belgium.

    Keywords: Real-world data, European Health Data Space, Secondary use of health data, Collaborative Research, Data interoperability

    Received: 08 Jul 2024; Accepted: 02 Oct 2024.

    Copyright: © 2024 Peeters. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Liesbet M. Peeters, University of Hasselt, Hasselt, Belgium

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.