AUTHOR=Vaccarino Anthony L. , Beaton Derek , Black Sandra E. , Blier Pierre , Farzan Farnak , Finger Elizabeth , Foster Jane A. , Freedman Morris , Frey Benicio N. , Gilbert Evans Susan , Ho Keith , Javadi Mojib , Kennedy Sidney H. , Lam Raymond W. , Lang Anthony E. , Lasalandra Bianca , Latour Sara , Masellis Mario , Milev Roumen V. , Müller Daniel J. , Munoz Douglas P. , Parikh Sagar V. , Placenza Franca , Rotzinger Susan , Soares Claudio N. , Sparks Alana , Strother Stephen C. , Swartz Richard H. , Tan Brian , Tartaglia Maria Carmela , Taylor Valerie H. , Theriault Elizabeth , Turecki Gustavo , Uher Rudolf , Zinman Lorne , Evans Kenneth R. TITLE=Common Data Elements to Facilitate Sharing and Re-use of Participant-Level Data: Assessment of Psychiatric Comorbidity Across Brain Disorders JOURNAL=Frontiers in Psychiatry VOLUME=13 YEAR=2022 URL=https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2022.816465 DOI=10.3389/fpsyt.2022.816465 ISSN=1664-0640 ABSTRACT=

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. By providing access to aggregated datasets on participants with and without different brain disorders, Brain-CODE will facilitate analyses both within and across diseases and cover multiple brain disorders and a wide array of data, including clinical, neuroimaging, and molecular. To help achieve these goals, consensus methodology was used to identify a set of core demographic and clinical variables that should be routinely collected across all participating programs. Establishment of Common Data Elements within Brain-CODE is critical to enable a high degree of consistency in data collection across studies and thus optimize the ability of investigators to analyze pooled participant-level data within and across brain disorders. Results are also presented using selected common data elements pooled across three studies to better understand psychiatric comorbidity in neurological disease (Alzheimer's disease/amnesic mild cognitive impairment, amyotrophic lateral sclerosis, cerebrovascular disease, frontotemporal dementia, and Parkinson's disease).