What is SchizConnect?

Large-scale data sharing

The exploration and analysis of multi-site, multi-dimensional, multi-modal data has improved the schizophrenia research community's understanding of the complex disease. SchizConnect allows researchers to conduct these crucial large-scale investigations.

Novel mediation software

The SchizConnect Mediator queries disparate, heterogeneous data sources and integrates their content for return in a uniform, semantically-consistent structure. In this way, SchizConnect is a true federation of schizophrenia neuroimaging-related databases.

Federated databases

All the SchizConnect data remains at the repositories under the control of the data providers. SchizConnect thus enables schizophrenia researchers to share their already-collected data with no changes to their existing data repositories, removing a huge impediment to efficient data sharing.

SchizConnect Press

Project Information

For more information about the SchizConnect project, including papers and presentations, please view the project description.

Participating Sites

SchizConnect is a virtual database, mediating data from the following databases:  fBIRN,  COINS,  XNAT Central,  NUNDA, and  NU REDCap. The mediator was developed at the Information Sciences Institute of the University of Southern California (ISI).

Example Usage

  • PI team: Lei Wang, Jose Luis Ambite, Jessica Turner, Steven Potkin


  • Engineering team: Kate Alpert, Margaret King, Alex Kogan, Joel Mathew, Dave Keator


  • Funding: NIMH 1U01 MH097435