Keywords
Data mediation and integration, neuroinformatics, mega analysis, schizophrenia databases
Abstract
SchizConnect (www.schizconnect.org) is built to address the issues of multiple data repositories in schizophrenia neuroimaging studies. It includes a level of mediation—translating across data sources—so that the user can place one query, e.g. for diffusion images from male individuals with schizophrenia, and find out from across participating data sources how many datasets there are, as well as downloading the imaging and related data. The current version handles the Data Usage Agreements across different studies, as well as interpreting database-specific terminologies into a common framework. New data repositories can also be mediated to bring immediate access to existing datasets. Compared with centralized, upload data sharing models, SchizConnect is a unique, virtual database with a focus on schizophrenia and related disorders that can mediate live data as information are being updated at each data source. It is our hope that SchizConnect can facilitate testing new hypotheses through aggregated datasets, promoting discovery related to the mechanisms underlying schizophrenic dysfunction.
BYU ScholarsArchive Citation
Cobia, Derin J.; Wang, Lei; Alpert, Kathryn I.; Calhoun, Vince D.; Keator, David B.; King, Margaret D.; Kogan, Alexandr; Landis, Drew; Tallis, Marcelo; Turner, Matthew D.; Potkin, Steven G.; Turner, Jessica A.; and Ambite, Jose Luis, "SchizConnect: Mediating Neuroimaging Databases on Schizophrenia and Related Disorders for Large-Scale Integration" (2017). Faculty Publications. 6084.
https://scholarsarchive.byu.edu/facpub/6084
Document Type
Peer-Reviewed Article
Publication Date
2017-01-01
Permanent URL
http://hdl.lib.byu.edu/1877/8813
Language
English
College
Family, Home, and Social Sciences
Department
Psychology
Copyright Use Information
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