Abstract

Data sharing and mediation across disparate neuroimaging repositories requires extensive effort to ensure that the different domains of data types are referred to by commonly agreed upon terms. Within the SchizConnect project, which enables querying across decentralized databases of neuroimaging, clinical, and cognitive data from various studies of schizophrenia, we developed a model for each data domain, identified common usable terms that could be agreed upon across the repositories, and linked them to standard ontological terms where possible. We had the goal of facilitating both the current user experience in querying and future automated computations and reasoning regarding the data. We found that existing terminologies are incomplete for these purposes, even with the history of neuroimaging data sharing in the field; and we provide a model for efforts focused on querying multiple …

Date

August 7, 2025

Authors

Jessica A Turner, Danielle Pasquerello, Matthew D Turner, David B Keator, Kathryn Alpert, Margaret King, Drew Landis, Vince D Calhoun, Steven G Potkin, Marcelo Tallis, Jose Luis Ambite, Lei Wang

Conference

Data Integration in the Life Sciences: 11th International Conference, DILS 2015, Los Angeles, CA, USA, July 9-10, 2015, Proceedings 11

Pages

104-117

Publisher

Springer International Publishing