Imaging research and analysis is increasingly dependent on acquiring data from large numbers of subjects, which in turn means searching across wide geographical areas to find enough subjects that meet your study's criteria. One way to manage this is to collaborate with a number of research institutions to recruit and image subjects from.
While this is economically more feasible (and friendlier to your subjects), it introduces a new host of challenges for study coordination: disparate scanning technologies and devices; non-uniform process for image acquisition and data handling; the challenge of aggregating all this data into a centralized system, and then managing access to this data across a large number of collaborators from outside your institution.
XNAT has evolved to solve this problem.
Because XNAT is a web-based application, it has the built-in capability to be accessed from anywhere in the world. Necessarily, security and fine-grained access controls are built into XNAT at the root level. XNAT administration has been built to support the complexities of multi-center research projects, including:
Currently, XNAT is supporting a number of high-profile multi-site research studies, including the Human Connectome Project, the DIAN study of inherited Alzheimer's Disease, the INTRUST study of post-traumatic stress disorders, and the PREDICT-HD study of Huntington's Disease.
More: XNAT supports the PREDICT-HD Project at the University of Iowa.