TY - JOUR AU - Kuplicki, Rayus AU - Touthang, James AU - Al Zoubi, Obada AU - Mayeli, Ahmad AU - Misaki, Masaya AU - , NeuroMAP-Investigators AU - Aupperle, Robin L. AU - Teague, T. Kent AU - McKinney, Brett A. AU - Paulus, Martin P. AU - Bodurka, Jerzy PY - 2021 M3 - Study Protocol TI - Common Data Elements, Scalable Data Management Infrastructure, and Analytics Workflows for Large-Scale Neuroimaging Studies JO - Frontiers in Psychiatry UR - https://www.frontiersin.org/articles/10.3389/fpsyt.2021.682495 VL - 12 SN - 1664-0640 N2 - Neuroscience studies require considerable bioinformatic support and expertise. Numerous high-dimensional and multimodal datasets must be preprocessed and integrated to create robust and reproducible analysis pipelines. We describe a common data elements and scalable data management infrastructure that allows multiple analytics workflows to facilitate preprocessing, analysis and sharing of large-scale multi-level data. The process uses the Brain Imaging Data Structure (BIDS) format and supports MRI, fMRI, EEG, clinical, and laboratory data. The infrastructure provides support for other datasets such as Fitbit and flexibility for developers to customize the integration of new types of data. Exemplar results from 200+ participants and 11 different pipelines demonstrate the utility of the infrastructure. ER -