INDI — International Neuroimaging Data-sharing Initiative
Overview
The International Neuroimaging Data-sharing Initiative (INDI) is an open-science data-sharing programme that aggregates and openly releases neuroimaging datasets contributed by sites worldwide. Developed and supported by the Child Mind Institute as a next-generation effort following the 1000 Functional Connectomes Project, it coordinates several large prospectively-shared collections, including ABIDE (Autism Brain Imaging Data Exchange), ADHD-200, the Consortium for Reliability and Reproducibility (CoRR), and the Enhanced NKI-Rockland Sample, and has extended the model to non-human imaging through the PRIMatE Data Exchange (PRIME-DE). Its datasets cover structural MRI, functional MRI, diffusion imaging, and EEG, released under unrestricted open-access terms for non-commercial research. The collections are hosted on NITRC and mirrored on the AWS Open Data registry.
Connections
- isPartOf: Child Mind Institute
- relatedTo: NITRC (NITRC hosts and distributes the INDI dataset collections)
- relatedTo: Neurobagel (a public Neurobagel federation node exposes INDI datasets, including CoRR, for cohort discovery)
- relatedTo: NKI-RS (INDI releases the Enhanced NKI-Rockland Sample as one of its data-sharing collections)
Resources
- https://fcon_1000.projects.nitrc.org/indi/
- https://registry.opendata.aws/fcp-indi/ (AWS Open Data registry mirror)
- https://childmind.org/science/global-open-science/data-sharing-initiatives/ (Child Mind Institute open science programmes)
- https://doi.org/10.1016/j.neuroimage.2012.10.064 (Mennes et al. 2013, NeuroImage, the FCP/INDI experience)