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http://hdl.handle.net/1942/33908| Title: | Multiple Sclerosis Data Alliance - A global multi-stakeholder collaboration to scale-up real world data research | Authors: | PEETERS, Liesbet PARCIAK, Tina Kalra, Dipak Moreau, Yves Kasilingam, Elisabeth Galen, Pieter van Thalheim, Christoph Uitdehaag, Bernard Vermersch, Patrick HELLINGS, Niels STINISSEN, Piet VAN WIJMEERSCH, Bart Ardeshirdavani, Amin PIRMANI, Ashkan Brouwer, Edward De Bauer, Christian Robert Krefting, Dagmar Ribbe, Stephanie Middleton, Rod Stahmann, Alexander Comi, Giancarlo |
Issue Date: | 2021 | Publisher: | ELSEVIER SCI LTD | Source: | Multiple Sclerosis and Related Disorders, 47 (Art N° 102634) | Abstract: | The Multiple Sclerosis Data Alliance (MSDA), a global multi-stakeholder collaboration, is working to accelerate research insights for innovative care and treatment for people with multiple sclerosis (MS) through better use of real-world data (RWD). Despite the increasing reliance on RWD, challenges and limitations complicate the generation, collection, and use of these data. MSDA aims to tackle sociological and technical challenges arising with scaling up RWD, specifically focused on MS data. MSDA envisions a patient-centred data ecosystem in which all stakeholders contribute and use big data to co-create the innovations needed to advance timely treatment and care of people with MS. | Notes: | Peeters, LM (corresponding author), Agoralaan C Bis, B-3590 Diepenbeek, Belgium. Liesbet.peeters@uhasselt.be |
Other: | Peeters, LM (corresponding author), Agoralaan C Bis, B-3590 Diepenbeek, Belgium. Liesbet.peeters@uhasselt.be | Keywords: | Real world data;multiple sclerosis;learning health system;collaboration;patient engagement | Document URI: | http://hdl.handle.net/1942/33908 | ISSN: | 2211-0348 | e-ISSN: | 2211-0356 | DOI: | 10.1016/j.msard.2020.102634 | ISI #: | WOS:000618266400014 | Rights: | 2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license | Category: | A1 | Type: | Journal Contribution | Validations: | ecoom 2022 |
| Appears in Collections: | Research publications |
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| 1-s2.0-S2211034820307082-main.pdf | Published version | 1.64 MB | Adobe PDF | View/Open |
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