Adopting open-science infrastructure in the ENIGMA-Parkinson’s Disease consortium: A case study

The adoption of open science principles for data has been instrumental in enabling the creation and reuse of large datasets and efficient collaboration, but requires a dedicated open data sharing infrastructure. Although clinical neuroscience research increasingly involves large-scale collaboration on controlled, sensitive data, open science principles can bring key benefits in this setting. The unique privacy and access requirements of clinical research create challenges that require a specialized data infrastructure, focused on local governance. Here we present a narrative account of a pilot project to establish such an infrastructure for the data of the ENIGMA Parkinson’s Disease working group by adopting the decentralized Nipoppy and Neurobagel tool stack. Our collaboration has led to the adoption of community data standards among international sites of the working group and has launched an open portal that enables the cross-site discovery of cohorts based on harmonized metadata. We discuss our approach to this collaboration, the social and technical challenges we have encountered and how we addressed them in the hope that groups in similar situations may benefit from our experiences.

Authors

Institutions

Publication Details

Journal
Aperture Neuro
Published
2025-10-22
DOI
https://doi.org/10.52294/001c.145049
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adopting open-science infrastructure in the ENIGMA-Parkinson’s Disease consortium: A case study

Tim D. van Balkom, Elbrich M. Postma, Arman Jahanpour, Max A. Laansma et al.
Aperture Neuro
Health, Environment, Cognitive Aging
article

Adopting open-science infrastructure in the ENIGMA-Parkinson’s Disease consortium: A case study

Tim D. van Balkom, Elbrich M. Postma, Arman Jahanpour, Max A. Laansma, Ysbrand D. van der Werf, Teus van Laar, Chris Vriend, Neda Jahanshad, Mathieu Dugré, Michelle Wang, Rick C. G. Helmich, Henk W. Berendse, Brent McPherson, Nikhil Bhagwat, Sebastian Urchs, Emile d’Angremont, Alain Dagher, Eva M. van Heese, Jean‐Baptiste Poline, Martin E. Johansson, Franziska Goltz, Alyssa Dai, Odile A. van den Heuvel, Paul M. Thompson, Anna Dortmond
article en

Abstract

The adoption of open science principles for data has been instrumental in enabling the creation and reuse of large datasets and efficient collaboration, but requires a dedicated open data sharing infrastructure. Although clinical neuroscience research increasingly involves large-scale collaboration on controlled, sensitive data, open science principles can bring key benefits in this setting. The unique privacy and access requirements of clinical research create challenges that require a specialized data infrastructure, focused on local governance. Here we present a narrative account of a pilot project to establish such an infrastructure for the data of the ENIGMA Parkinson’s Disease working group by adopting the decentralized Nipoppy and Neurobagel tool stack. Our collaboration has led to the adoption of community data standards among international sites of the working group and has launched an open portal that enables the cross-site discovery of cohorts based on harmonized metadata. We discuss our approach to this collaboration, the social and technical challenges we have encountered and how we addressed them in the hope that groups in similar situations may benefit from our experiences.

Aperture NeuroVol. 5(SI 2)
University of Southern California (US), Montreal Neurological Institute and Hospital (CA), University Medical Center Groningen (NL), Radboud University Nijmegen (NL), California Southern University (US), University Medical Center (US), Radboud University Medical Center (NL), Amsterdam Neuroscience (NL), Amsterdam University Medical Centers (NL), McGill University (CA), Concordia University (CA), Vrije Universiteit Amsterdam (NL)
Openalex Percentile: Top 61%
Health, Environment, Cognitive Aging
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.