Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33908
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dc.contributor.authorPEETERS, Liesbet-
dc.contributor.authorPARCIAK, Tina-
dc.contributor.authorKalra, Dipak-
dc.contributor.authorMoreau, Yves-
dc.contributor.authorKasilingam, Elisabeth-
dc.contributor.authorGalen, Pieter van-
dc.contributor.authorThalheim, Christoph-
dc.contributor.authorUitdehaag, Bernard-
dc.contributor.authorVermersch, Patrick-
dc.contributor.authorHELLINGS, Niels-
dc.contributor.authorSTINISSEN, Piet-
dc.contributor.authorVAN WIJMEERSCH, Bart-
dc.contributor.authorArdeshirdavani, Amin-
dc.contributor.authorPIRMANI, Ashkan-
dc.contributor.authorBrouwer, Edward De-
dc.contributor.authorBauer, Christian Robert-
dc.contributor.authorKrefting, Dagmar-
dc.contributor.authorRibbe, Stephanie-
dc.contributor.authorMiddleton, Rod-
dc.contributor.authorStahmann, Alexander-
dc.contributor.authorComi, Giancarlo-
dc.date.accessioned2021-04-13T09:01:06Z-
dc.date.available2021-04-13T09:01:06Z-
dc.date.issued2021-
dc.date.submitted2021-03-23T11:06:21Z-
dc.identifier.citationMultiple Sclerosis and Related Disorders, 47 (Art N° 102634)-
dc.identifier.urihttp://hdl.handle.net/1942/33908-
dc.description.abstractThe 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.-
dc.description.sponsorshipWe would like to thank the sponsors of the MS Data Alliance. The MSDA receives income from a range of corporate sponsors, recently including: Biogen, BristolMyersSquibb (formerly Celgene), Canopy Growth Corporation, Genzyme, Icometrix, Janssen, Merck, Mylan, Novartis, QMENTA, Quanterix, Roche. We would like to thank the European MS Platform and the University MS Center of Hasselt University for founding the initiative. Next to this, we would like to thank the other core partners for their continued support: the European Charcot Foundation, The European Institute for Innovation through Health Data, the University of Gottingen and KULeuven. A special thanks to our pioneer registries: the UK MS registry and the German MS registry.-
dc.language.isoen-
dc.publisherELSEVIER SCI LTD-
dc.rights2020 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license-
dc.subject.otherReal world data-
dc.subject.othermultiple sclerosis-
dc.subject.otherlearning health system-
dc.subject.othercollaboration-
dc.subject.otherpatient engagement-
dc.titleMultiple Sclerosis Data Alliance - A global multi-stakeholder collaboration to scale-up real world data research-
dc.typeJournal Contribution-
dc.identifier.volume47-
local.format.pages4-
local.bibliographicCitation.jcatA1-
dc.description.notesPeeters, LM (corresponding author), Agoralaan C Bis, B-3590 Diepenbeek, Belgium.-
dc.description.notesLiesbet.peeters@uhasselt.be-
dc.description.otherPeeters, LM (corresponding author), Agoralaan C Bis, B-3590 Diepenbeek, Belgium. Liesbet.peeters@uhasselt.be-
local.publisher.placeTHE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND-
local.type.refereedRefereed-
local.type.specifiedLetter-
local.bibliographicCitation.artnr102634-
dc.identifier.doi10.1016/j.msard.2020.102634-
dc.identifier.isiWOS:000618266400014-
dc.contributor.orcidPirmani, Ashkan/0000-0003-4549-1002-
local.provider.typewosris-
local.uhasselt.uhpubyes-
local.description.affiliation[Peeters, Liesbet M.; Hellings, Niels; Stinissen, Piet; Wijmeersch, Bart Van; Pirmani, Ashkan] Hasselt Univ, Univ MS Ctr, Biomed Res Inst BIOMED, Agoralaan Bldg C, B-3590 Diepenbeek, Belgium.-
local.description.affiliation[Peeters, Liesbet M.; Pirmani, Ashkan] Hasselt Univ, Data Sci Inst DSI, Agoralaan Bldg D, B-3590 Diepenbeek, Belgium.-
local.description.affiliation[Parciak, Tina; Bauer, Christian Robert; Krefting, Dagmar] Univ Med Ctr Gottingen, Dept Med Informat, Von Siebold Str 3, D-37075 Gottingen, Germany.-
local.description.affiliation[Kalra, Dipak] Univ Ghent, Unit Med Informat & Stat, B-9000 Ghent, Belgium.-
local.description.affiliation[Moreau, Yves; Ardeshirdavani, Amin; Pirmani, Ashkan; Brouwer, Edward De] KULeuven, Dept Elect Engn ESAT STADIUS, Kasteelpk Arenberg 10, B-3001 Leuven, Belgium.-
local.description.affiliation[Kasilingam, Elisabeth; Galen, Pieter van; Thalheim, Christoph] European Multiple Sclerosis Platform, Rue A Lambiotte, B-1030 Brussels, Belgium.-
local.description.affiliation[Uitdehaag, Bernard] Vrije Univ Amsterdam, Amsterdam UMC, Dept Neurol, MS Ctr Amsterdam,Amsterdam Neurosci, POB 7057, NL-1007 MB Amsterdam, Netherlands.-
local.description.affiliation[Vermersch, Patrick] Univ Lille, CHU Lille, LIRIC INSERM U995, Lille, France.-
local.description.affiliation[Krefting, Dagmar] Univ Appl Sci Berlin, Berlin, Germany.-
local.description.affiliation[Ribbe, Stephanie] Novartis Int AG Forum 1, Novartis Campus, CH-4056 Basel, Switzerland.-
local.description.affiliation[Middleton, Rod] Swansea Univ, DSB, UK MS Register, Singleton Pk, Swansea, W Glam, Wales.-
local.description.affiliation[Stahmann, Alexander] MS Forsch & Projektentwicklungs gGmbH, German MS Register, Krausenstr 50, D-30171 Hannover, Germany.-
local.description.affiliation[Comi, Giancarlo] Osped San Raffaele, Inst Expt Neurol, Via Olgettina 48, I-20132 Milan, Italy.-
local.uhasselt.internationalyes-
item.validationecoom 2022-
item.contributorPEETERS, Liesbet-
item.contributorPARCIAK, Tina-
item.contributorKalra, Dipak-
item.contributorMoreau, Yves-
item.contributorKasilingam, Elisabeth-
item.contributorGalen, Pieter van-
item.contributorThalheim, Christoph-
item.contributorUitdehaag, Bernard-
item.contributorVermersch, Patrick-
item.contributorHELLINGS, Niels-
item.contributorSTINISSEN, Piet-
item.contributorVAN WIJMEERSCH, Bart-
item.contributorArdeshirdavani, Amin-
item.contributorPIRMANI, Ashkan-
item.contributorBrouwer, Edward De-
item.contributorBauer, Christian Robert-
item.contributorKrefting, Dagmar-
item.contributorRibbe, Stephanie-
item.contributorMiddleton, Rod-
item.contributorStahmann, Alexander-
item.contributorComi, Giancarlo-
item.accessRightsOpen Access-
item.fullcitationPEETERS, 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 (2021) Multiple Sclerosis Data Alliance - A global multi-stakeholder collaboration to scale-up real world data research. In: Multiple Sclerosis and Related Disorders, 47 (Art N° 102634).-
item.fulltextWith Fulltext-
crisitem.journal.issn2211-0348-
crisitem.journal.eissn2211-0356-
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