ConnectomeDB is a data management platform that houses all data generated by the Human Connectome Project - Young Adult - image data, clinical evaluations, behavioral data and more.
The ConnectomeDB is designed to be a data-mining tool, that allows users to generate and test hypotheses based on groups of subjects. Using the ConnectomeDB interface, users can easily search, browse and filter large amounts of participant data, and download necessary files for many kinds of analyses.
Also, ConnectomeDB is designed to work seamlessly with Connectome Workbench, an interactive, multidimensional visualization platform designed specifically for handling connectivity data. From Workbench, users are able to generate and explore group average data from customized sets of participants.
Fully de-identified data within the ConnectomeDB is publicly accessible as it is released. Access to additional restricted data is available to qualified research investigators. ConnectomeDB is a web-based tool, and the data is hosted on a ZFS storage platform housed at Washington University.
This data platform is based on XNAT, an open-source image informatics software toolkit developed by the Computational Imaging Research Center at Washington University. ConnectomeDB itself is fully open source. (License).
ConnectomeDB has been released in conjunction with the HCP data releases, and is available at https://db.humanconnectome.org.
ConnectomeDB documentation and user guides are available on this site: ConnectomeDB User Guide.