ENIGMA + COINSTAC: Improving Findability, Accessibility, Interoperability, and Re-usability
Year: 2021
Type: article
Abstract: The FAIR principles, as applied to clinical and neuroimaging data, reflect the goal of making research products Findable, Accessible, Interoperable, and Reusable. The use of the Collaborative Informatics and Neuroimaging Suite Toolkit for Anonymized Computation (COINSTAC) platform in the Enhancing Neuroimaging Genetics through Meta-Analysis (ENIGMA) consortium combines the technological approach of decentralized analyses with the sociological approach of sharing data. In addition, ENIGMA + COINSTAC provides a platform to facilitate the use of machine-actionable data objects. We first present how ENIGMA and COINSTAC support the FAIR principles, and then showcase their integration with a decentralized meta-analysis of sex differences in negative symptom severity in schizophrenia, and finally present ongoing activities and plans to advance FAIR principles in ENIGMA + COINSTAC. ENIGMA and COINSTAC currently represent efforts toward improved Access, Interoperability, and Reusability. We highlight additional improvements needed in these areas, as well as future connections to other resources for expanded Findability.
Source: Neuroinformatics
Authors: Jessica A. Turner, Vince D. Calhoun, Paul M. Thompson, Neda Jahanshad, Christopher R. K. Ching, Sophia I. Thomopoulos, Eric Verner, Gregory P. Strauss, Anthony O. Ahmed, Matthew D. Turner, Sunitha Basodi, Judith M. Ford, Daniel H. Mathalon, Adrian Preda, Aysenil Belger, Bryon A. Mueller, Kelvin O. Lim, Theo G. M. van Erp
Institutions: Georgia State University, Georgia Institute of Technology, Emory University, Center for Translational Research in Neuroimaging and Data Science, University of Southern California, University of Georgia, Weill Cornell Medicine, San Francisco VA Medical Center, University of California, San Francisco, San Francisco VA Health Care System, University of California, Irvine, University of California, Irvine Medical Center, University of North Carolina at Chapel Hill, University of Minnesota
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $3,860
Awards: G2150137987, ENIGMA-COINSTAC: Advanced Worldwide Transdiagnostic Analysis of Valence System Brain Circuit, COINSTAC 2.0: decentralized, scalable analysis of loosely coupled data, G3966334081, G4294767953, G490900884, G5017741026, G620491733, G700495459, A global alliance to unlock brain mechanisms influencing suicidal behaviors through the ENIGMA Consortium, G9000047482, G9000250461, Bio-Informatics Research Network Coordinating Center (BIRN-CC)
OpenAlex ID: W3215992528