Which infrastructure can I use to share human neuroimaging data? A survey and literature review on current solutions for EU researchers

The ability to share research data publicly is crucial for enhancing statistical power, improving the quality of results, and ensuring the generalizability of findings. Despite the widespread availability of web-based tools and collaborative opportunities, sharing human neuroimaging data remains challenging for researchers based in the European Union (EU) due to various obstacles. In particular, many of the infrastructures available to share brain imaging data do not comply with the General Data Protection Rule (GDPR), which is applicable in the EU for all data that come from human participants. To investigate the awareness and utilization of data sharing platforms, we conducted a global survey targeting neuroimaging researchers. Our findings showed that amongst the 81 respondents, less than 50% were familiar with an infrastructure designed for EU researchers and about 20% had already shared data. Respondents also identified several key challenges, including legal compliance and privacy concerns, resource and infrastructure limitations, ethical considerations, institutional barriers, and awareness gaps. These results underscore the critical need to better publicize data sharing platforms that may be used by EU researchers. Here, we compiled a comprehensive list of infrastructures suitable for EU researchers to share brain imaging datasets from human participants.

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Publication Details

Journal
Aperture Neuro
Published
2025-10-16
DOI
https://doi.org/10.52294/001c.144839
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.43
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article

Which infrastructure can I use to share human neuroimaging data? A survey and literature review on current solutions for EU researchers

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1 citations
Aperture Neuro
Functional Brain Connectivity Studies
1.43
article

Which infrastructure can I use to share human neuroimaging data? A survey and literature review on current solutions for EU researchers

Nico Sollmann, Stefanie Thust, Igor Petrušić, Ruben Emanuel Nechifor, Amira Šerifović Trbalić, María A. Fernández‐Seara, Camille Maumet, Yaara Erez, Vera C. Keil, Alexandre Pron, Patricia Clement, Saide Begüm Feyzioğlu, Esin Öztürk-Işık, Ramón Iglesias‐Rey, Jérémy Lefort‐Besnard, Gareth J. Barker, Stephan Heunis, Tatjana Mitrović, S. Hartman, Esther A. H. Warnert, Catarina Passarinho, Gülce Turhan
article en
1 citations

Abstract

The ability to share research data publicly is crucial for enhancing statistical power, improving the quality of results, and ensuring the generalizability of findings. Despite the widespread availability of web-based tools and collaborative opportunities, sharing human neuroimaging data remains challenging for researchers based in the European Union (EU) due to various obstacles. In particular, many of the infrastructures available to share brain imaging data do not comply with the General Data Protection Rule (GDPR), which is applicable in the EU for all data that come from human participants. To investigate the awareness and utilization of data sharing platforms, we conducted a global survey targeting neuroimaging researchers. Our findings showed that amongst the 81 respondents, less than 50% were familiar with an infrastructure designed for EU researchers and about 20% had already shared data. Respondents also identified several key challenges, including legal compliance and privacy concerns, resource and infrastructure limitations, ethical considerations, institutional barriers, and awareness gaps. These results underscore the critical need to better publicize data sharing platforms that may be used by EU researchers. Here, we compiled a comprehensive list of infrastructures suitable for EU researchers to share brain imaging datasets from human participants.

Aperture NeuroVol. 5(SI 2)
Centre National de la Recherche Scientifique (FR), Ministry of Health (TR), Bar-Ilan University (IL), University of Tuzla (BA), University of Lisbon (PT), University of Nottingham (GB), University of Nis (RS), Inserm (FR), King's College London (GB), Ghent University Hospital (BE), Ernst Ruska Centre (DE), Institut de Recherche en Informatique et Systèmes Aléatoires (FR), TUM Klinikum (DE), University Medical Center (US), Babeș-Bolyai University (RO), University of Belgrade (RS), Amsterdam Neuroscience (NL), Navarre Institute of Health Research (ES), Clinica Universidad de Navarra (ES), Instituto de Investigación Sanitaria de Santiago (ES), Erasmus MC Cancer Institute (NL), Amsterdam University Medical Centers (NL), University Hospital Ulm (DE), INESC TEC (PT), Cancer Center Amsterdam (NL), Boğaziçi University (TR), Université de Rennes (FR)
Openalex Percentile: Top 15%
Functional Brain Connectivity Studies
1.43
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