NeuroHub offers researchers a single web-based platform to store their data, collaborate with colleagues and work with established computational infrastructure. The platform’s suite of tools supports research in neuroinformatics, genomics, social sciences, biology and more, and can be used by any user with an internet connection through their web browser. Through NeuroHub, users can:
- Securely store and share multi-modal data for multi-disciplinary collaborative research
- Execute advanced searches on raw and processed data from the UK Biobank
- Launch small interactive and large-scale computational workflows and import results into NeuroHub
- Develop machine learning algorithms through big data in NeuroHub
NeuroHub is among the few platforms that includes traditional datasets from neuroimaging and genomics, as well as cohort and longitudinal data from behavioural, population and social science studies, and soft data extracted from existing publications. By linking such diverse datasets together with metadata, the platform manages several known data sources with newly collected and curated sources from McGill research to create one of the richest, searchable data repositories in the world.
NeuroHub’s development is informed by the needs of the scientific community. During the initial development phase, the NeuroHub team conducted an in-depth user needs assessment across the HBHL community and multiple disciplines. Areas identified as important to the community include data storage and sharing, data security, connectivity of commonly used tools and reproducibility of research.
As much as possible, the platform tries to re-use existing technologies and establish partnerships when this is the most efficient solution.
In keeping with McGill’s commitment to Open Science, the platform also extends the FAIR principles (Findable, Accessible, Interoperable, Reusable) and leads the development of international neuroinformatics standards and best practices.