EBRAINS
Advancing brain research through open science
EBRAINS is pan-European digital infrastructure that facilitates research collaboration across individual researchers, institutions and borders.
With its roots in the Human Brain Project—a decentralized, member-based incubator for individuals and scientific institutions focused on the brain—EBRAINS came to us help classify and centralize 10 years’ worth of research and transform it into an open access and user-centric portal.
Our new platform offers an accessible design system that enables neuroscientists to collaborate and contribute to their field in ways that serve the public interest.
EBRAINS is made with Twill, our open-source CMS for Laravel.
With EBRAINS’ community of researchers working across disciplines, institutions, and borders, we crafted a user-centric design system and navigation components catered to a diverse user group.
To ensure a unified user experience, we aggregated a vast and disorganized backlog of tools and services into a streamlined, workflow-based information architecture inspired by and tailored to the work processes of neuroscientists.
By removing accessibility barriers to learning resources and state-of-the-art research developed by the Human Brain Project, the platform empowers younger generations of neuroscientists to accelerate their work and the work of others––and advance their field in the process. Modeling and simulation tools, brain atlases and health datasets are freely accessible via an efficient, easy-to-use platform.
“AREA 17 was excellent at understanding our needs and translating them into a very user-friendly portal. This is an important milestone for our organization, and it would not have happened without this great collaboration.” — France Nivelle
The platform’s tech-stack needed to cater to the needs of a distributed, pan-European team and also ensure the team could take long-term ownership of the technology. Our goal was to successfully establish a separation between the presentation layer, the communication team's requirements and the data management team's responsibilities. This architecture facilitated seamless integration of content from diverse external sources, while also providing a flexible foundation for future expansions.
