Publications
2025
FAIR African brain data: challenges and opportunities
Wogu E., Ogoh G., Filima P., Nsaanee, B., Caron B., Pestilli, F., Eke, D
The effectiveness of research and innovation often relies on the diversity or heterogeneity of datasets that are Findable, Accessible, Interoperable and Reusable (FAIR). However, the global landscape of brain data is yet to achieve desired levels of diversity that can facilitate generalisable outputs. Brain datasets from low-and middle-income…
2025
A labeled Clinical-MRI dataset of Nigerian brains
Eberechi Wogu, Patrick Filima, Bradley Caron, Daniel Deabler, Peer Herholz, Catherine Leal, Mohammed F Mehboob, Sohmee Kim, Ananya Gosain, Alisha Flexwala, Soichi Hayashi, Simisola Akintoye, George Ogoh, Tawe Godwin, Damian Eke, Franco Pestilli.
There is currently a paucity of neuroimaging data from the African continent, limiting the diversity of data from a significant proportion of the global population. This in turn diminishes global health research and innovation. To address this issue, we present and describe the first Magnetic Resonance Imaging (MRI) dataset from individuals in…
2024
Perceptions on the Ethical and Legal Principles that Influence Global Brain Data Governance.
Paschal Ochang, Damian Eke, Bernd Carsten Stahl.
Advances in neuroscience and other disciplines are producing large-scale brain data consisting of datasets from multiple organisms, disciplines, and jurisdictions in different formats. However, due to the lack of an international data governance framework brain data is currently being produced under various contextual ethical and legal…
2022
The ethical and legal landscape of brain data governance
Paschal Ochang, Bernd Carsten Stahl, Damian Eke
Neuroscience research is producing big brain data which informs both advancements in neuroscience research and drives the development of advanced datasets to provide advanced medical solutions. These brain data are produced under different jurisdictions in different formats and are governed under different regulations. The governance of data…
2022
Towards a Governance Framework for Brain Data
Marcello Ienca, Joseph J. Fins, Ralf J. Jox, Fabrice Jotterand, Silja Voeneky, Roberto Andorno, Tonio Ball, Claude Castelluccia, Ricardo Chavarriaga, Hervé Chneiweiss, Agata Ferretti, Orsolya Friedrich, Samia Hurst, Grischa Merkel, Fruzsina Molnár-Gábor, Jean-Marc Rickli, James Scheibner, Effy Vayena, Rafael Yuste & Philipp Kellmeyer
The increasing availability of brain data within and outside the biomedical field, combined with the application of artificial intelligence (AI) to brain data analysis, poses a challenge for ethics and governance. We identify distinctive ethical implications of brain data acquisition and processing, and outline a multi-level governance…
2021
International data governance for neuroscience
Damian O Eke, Amy Bernard, Jan G Bjaalie, Ricardo Chavarriaga, Takashi Hanakawa, Anthony J Hannan, Sean L Hill, Maryann E Martone, Agnes McMahon, Oliver Ruebel, Sharon Crook, Edda Thiels, Franco Pestilli
As neuroscience projects increase in scale and cross international borders, different ethical principles, national and international laws, regulations, and policies for data sharing must be considered. These concerns are part of what is collectively called data governance. Whereas neuroscience data transcend borders, data governance is…