An ecosystem for distributed dataset harmonization and search.
Neurobagel allows you to connect a local neuroimaging dataset with others in a decentralized framework using linked data principles.
Federated data integration, local control
Our aim is to allow researchers and data owners to harmonize and integrate their datasets without uploading them to a central database. Neurobagel provides reusable data schemas and intuitive tools for local data annotation, enabling participant-level cohort search across harmonized datasets.
Reap the benefits of curated vocabularies (e.g., BIDS, SNOMED CT, and the Cognitive Atlas) and linked data, without the implementation expertise.
Once a dataset is annotated, harmonized subject data can be updated and regenerated at any time. These subject-level annotations are added to knowledge graphs, while your local data files remain the only source of truth about the dataset.
Want to host a local knowledge graph store at your institute? docker compose up, and you're in business.
Neurobagel is a collaborative effort based in the ORIGAMI Lab at the Montreal Neurological Institute in collaboration with the Douglas Research Centre. Visit this page to learn more about the project team.