Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders

February 2022
Journal: Frontiers in Psychiatry
All Authors: Anthony L. Vaccarino, Derek Beaton, Sandra E. Black, Pierre Blier, Farnak Farzan, Elizabeth Finger, Jane A. Foster, Morris Freedman, Benicio N. Frey, Susan Gilbert Evans, Keith Ho, Mojib Javadi, Sidney H. Kennedy, Raymond W. Lam, Anthony E. Lang, Bianca Lasalandra, Sara Latour, Mario Masellis, Roumen V. Milev, Daniel J. Müller, Douglas P. Munoz, Sagar V. Parikh, Franca Placenza, Susan Rotzinger, Claudio N. Soares, Alana Sparks, Stephen C. Strother, Richard H. Swartz, Brian Tan, Maria Carmela Tartaglia, Valerie H. Taylor, Elizabeth Theriault, Gustavo Turecki, Rudolf Uher, Lorne Zinman and Kenneth R. Evans


The Ontario Brain Institute’s “Brain-CODE” is a large-scale informatics platform designed to support the collection, storage and integration of diverse types of data across several brain disorders as a means to understand underlying causes of brain dysfunction and developing novel approaches to treatment. To help achieve their goals, consensus methodology was used to identify a set of core demographic and clinical variables that should be routinely collected across all participating programs. This process is explained here. Results are also presented using selected common data elements pooled across three studies to better understand psychiatric comorbidity in neurological disease.