Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Scaling up polarization-sensitive optical coherence tomography to image the whole macaque brain.

bioRxiv : the preprint server for biology·2026
Same author

Replicability of multivariate brain-behaviour associations depends on clinical profile.

Communications biology·2026
Same author

Short-Term Developmental Trajectories of Dorsal-Ventral Pathways and Their Relationships with First-Grade Learning.

bioRxiv : the preprint server for biology·2026
Same author

Human white matter tracts aligned with canonical functional brain networks.

bioRxiv : the preprint server for biology·2026
Same author

Dento-Skeletal Effects of the Myofunctional 8-Appliance in Growing Patients.

Clinical and experimental dental research·2026
Same author

Decoloniality impact assessment for AI.

AI & society·2026

Related Experiment Video

Updated: May 21, 2025

Author Spotlight: Increasing TMS Accessibility Through Braiding Techniques for Diverse Hair Types
04:37

Author Spotlight: Increasing TMS Accessibility Through Braiding Techniques for Diverse Hair Types

Published on: August 9, 2024

654

FAIR African brain data: challenges and opportunities.

Eberechi Wogu1, George Ogoh2, Patrick Filima1

  • 1Department of Anatomy, University of Port Harcourt, Port Harcourt, Nigeria.

Frontiers in Neuroinformatics
|March 18, 2025
PubMed
Summary

African brain data is underrepresented in global open science, limiting research generalizability. Addressing technical, economic, and socio-cultural challenges is crucial for building a FAIR African brain data ecosystem.

Keywords:
African neuroscienceFAIRbrain dataneuroimagingneuroinformatics

More Related Videos

Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy NIRS Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa
08:10

Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy NIRS Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa

Published on: February 2, 2018

14.8K
Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
12:28

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

17.1K

Related Experiment Videos

Last Updated: May 21, 2025

Author Spotlight: Increasing TMS Accessibility Through Braiding Techniques for Diverse Hair Types
04:37

Author Spotlight: Increasing TMS Accessibility Through Braiding Techniques for Diverse Hair Types

Published on: August 9, 2024

654
Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy NIRS Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa
08:10

Neuroimaging Field Methods Using Functional Near Infrared Spectroscopy NIRS Neuroimaging to Study Global Child Development: Rural Sub-Saharan Africa

Published on: February 2, 2018

14.8K
Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains
12:28

Abbiategrasso Brain Bank Protocol for Collecting, Processing and Characterizing Aging Brains

Published on: June 3, 2020

17.1K

Area of Science:

  • Neuroscience
  • Open Science
  • Data Management

Background:

  • Research effectiveness hinges on diverse, Findable, Accessible, Interoperable, and Reusable (FAIR) datasets.
  • The global brain data landscape lacks diversity, particularly from low- and middle-income countries in Africa, hindering generalizable research outputs.
  • This data gap risks excluding African populations from decades of neuroscience advancements.

Purpose of the Study:

  • To investigate the challenges and opportunities for collecting and managing FAIR brain data in Africa.
  • To understand the perspectives of the African neuroscience community on data sharing and accessibility.

Main Methods:

  • Combined experiential research (hands-on data collection) with a survey questionnaire.
  • Experiential research involved direct engagement with African brain data collection processes.
  • Survey questionnaire validated experiential findings and gathered broader community input.

Main Results:

  • Experiential research identified socio-cultural, economic, technical, ethical, and legal challenges to FAIR African brain data.
  • Key opportunities include capacity development, infrastructure enhancement, funding, and policy reform.
  • Community survey prioritized challenges as: Technical, economic, socio-cultural, and ethical/legal.

Conclusions:

  • African researchers must collaborate to overcome data challenges and foster an inclusive FAIR brain data ecosystem.
  • The ecosystem needs to be socially acceptable, ethically responsible, technically robust, and legally compliant.
  • Collective action is essential for maximizing efforts and ensuring equitable representation in global neuroscience.