Informatics is an increasingly important enabler of the scientific process. The overarching mission of the HCP informatics team is to develop, deploy, and share an informatics platform that maximizes the scientific community’s ability to utilize HCP data.
This platform includes tools to support the HCP across the totality of the project, from data acquisition to data sharing. The HCP platform includes two interoperable components: ConnectomeDB, a data management system, and Connectome Workbench, a suite of scientific productivity tools. ConnectomeDB is based on XNAT, a widely used imaging informatics platform developed by the Neuroinformatics Research Group. ConnectomeDB is used internally by HCP operations groups to capture and process data and to perform quality control procedures. It will also be used as the primary mechanism for data dissemination. Connectome Workbench is based on Caret, a desktop application for brain mapping. Workbench will provide users with visualization and discovery tools that interact seamlessly with ConnectomeDB.
In addition to developing software, the informatics team leads several other components of the HCP. It oversees a high performance computing resource on which the HCP’s computational processes are executed. It oversees the overall workflow of data acquisition, ensuring that a global quality assurance process is maintained and appropriate privacy and security safeguards are in place. It works closely with external informatics resources, such as the Allen Brain Institute and the Neuroimaging Informatics Tools and Resources Clearinghouse (NITRC), to ensure that HCP data are integrated with complementary databases and analytic tools. And it guides the development of data sharing policies, procedures, and documentation to enable rapid and effective dissemination of HCP data.
HCP Informatics operates on 3 basic principles:
The member universities of the Human Connectome Project take privacy very seriously, whether dealing with participant data or the data of those visiting this website.
The participant data from our research into the Human Connectome that is stored in our XNAT server is de-identified, and contains no personal health information (PHI).
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Our website may also collect non-personal data about site visits, sessions, and IP addresses. This information is only used for diagnostic or debugging purposes, to help us optimize our website's performance, and is not shared externally. This is a standard practice for most websites, and this data is never linked with personally identifiable information.
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