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 cha...
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| Published in: | Aperture Neuro Vol. 5; no. SI 2 |
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Organization for Human Brain Mapping
16.10.2025
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| ISSN: | 2957-3963, 2957-3963 |
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| 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. |
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| AbstractList | 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. |
| Author | Lefort-Besnard, Jérémy Feyzioglu, Saide Begüm Mitrović, Tatjana Heunis, Stephan Thust, Stefanie C. Pron, Alexandre Maumet, Camille Keil, Vera Sollmann, Nico Petrušić, Igor Šerifović Trbalić, Amira Barker, Gareth Iglesias-Rey, Ramón Passarinho, Catarina Turhan, Gülce Warnert, Esther A.H. Fernández-Seara, Maria A. Clement, Patricia Nechifor, Ruben Emanuel Ozturk-Isik, Esin Erez, Yaara Hartman, Shir |
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| Cites_doi | 10.1136/medethics-2019-105651 10.1038/nrn.2016.167 10.1073/pnas.0911855107 10.1016/j.dib.2021.107191 10.5281/zenodo.16735588 10.3389/fnins.2013.00009 10.1038/nn.4393 10.1385/NI:5:1:11 10.1145/3514094.3539568 10.1016/j.semcancer.2021.12.001 10.2196/13484 10.3389/fpubh.2022.852971 10.1016/S2589-7500(24)00069-4 10.1371/journal.pbio.2003693 10.1002/hbm.25803 10.1016/j.neuroimage.2015.06.076 10.5334/egems.270 10.1162/imag_a_00508 10.1038/nn.4500 10.1162/imag_a_00111 10.1016/j.neuroimage.2013.02.040 10.1186/s12916-023-02941-4 10.1038/nn.3838 10.1038/sdata.2016.44 10.52949/52 10.1002/hbm.25351 10.1016/j.ynirp.2021.100053 10.1038/s41592-023-01865-4 10.1038/mp.2013.78 10.1007/s40846-020-00582-z 10.52949/81 10.5281/zenodo.3946720 10.1016/j.neuroimage.2021.117845 10.1126/sciadv.abj1812 10.1145/3448016.3457234 10.1038/nrn3475 10.31234/osf.io/esz9b 10.3389/fninf.2023.1276407 10.1038/s41586-022-04492-9 10.5334/dsj-2020-043 10.1016/j.neuroimage.2012.11.010 10.1101/447102 10.1038/nn.4135 10.1073/pnas.1919012117 10.1162/99608f92.9624ea51 10.1007/s12553-023-00789-5 10.1056/NEJMc1908881 10.1161/HYPERTENSIONAHA.120.16340 10.1038/sdata.2016.18 10.1038/s41586-024-08260-9 |
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