NEMAR: an open access data, tools and compute resource operating on neuroelectromagnetic data. (11th November 2022)

• Record Type: Journal Article
• Authors: Delorme, Arnaud; Truong, Dung; Youn, Choonhan; Sivagnanam, Subhashini; Stirm, Claire; Yoshimoto, Kenneth; Poldrack, Russell A; Majumdar, Amitava; Makeig, Scott
• Is Part Of: Database. Volume 2022(2022)
• Publication Date: 2022-11-11
• Subjects: Biology -- Databases -- Periodicals; Bioinformatics -- Periodicals; 570.285
• DOI: 10.1093/database/baac096
• Languages: English
• ISSNs: 1758-0463

Abstract

Abstract: To preserve scientific data created by publicly and/or philanthropically funded research projects and to make it ready for exploitation using recent and ongoing advances in advanced and large-scale computational modeling methods, publicly available data must use in common, now-evolving standards for formatting, identifying and annotating should share data. The OpenNeuro.org archive, built first as a repository for magnetic resonance imaging data based on the Brain Imaging Data Structure formatting standards, aims to house and share all types of human neuroimaging data. Here, we present NEMAR.org, a web gateway to OpenNeuro data for human neuroelectromagnetic data. NEMAR allows users to search through, visually explore and assess the quality of shared electroencephalography (EEG), magnetoencephalography and intracranial EEG data and then to directly process selected data using high-performance computing resources of the San Diego Supercomputer Center via the Neuroscience Gateway (nsgportal.org, NSG), a freely available web portal to high-performance computing serving a variety of neuroscientific analysis environments and tools. Combined, OpenNeuro, NEMAR and NSG form an efficient, integrated data, tools and compute resource for human neuroimaging data analysis and meta-analysis. Database URL : https://nemar.org