Neuroscience data management, analysis and collaboration
NeuroHub is a platform which solves researchers' data management needs. It allows you to collect, store and share data with colleagues or the community. NeuroHub's services provide turn-key solutions to address data management requirements from funders and high impact journals. NeuroHub also makes data analysis easier, faster and reproducible. Using our platform you can run complex tools and pipelines on high performance computing with a click of a button saving time and resources. Using our sharing systems you can collaborate easily with collaborators around the world by having one platform where you can perform collection, analysis and dissemination.
Securely store and share multi-modal and multi-disciplinary research data
Access raw and pre-processed data from the UK Biobank and other datasets
Access to computational facilities for both small-scale and large-scale computational workflows on data
Capture and then curate your data including imaging, behavioural, EEG, genetics and more
Access data in formats suitable for the development and application of Machine Learning algorithms
An easy to use web portal allows for fast and reproducible analysis while remaining customizable via our API layer
One platform enabling open science and cross-disciplinary collaboration.
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.
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.