A modular architecture for organizing, processing and sharing neurophysiology data

Abstract

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Spyglass: a framework for reproducible and shareable neuroscience research

“…More broadly, DataJoint is used by many labs with lab-specific pipelines (Yatsenko et al, 2021), but to our knowledge none of these efforts integrate cross-laboratory data and visualization tools. Parallel efforts from large collaborative groups like The International Brain Laboratory include a data architecture with similar elements, such as a system to organize neurophysiology data for sharing with collaborators and a module to automatically run analyses (The International Brain Laboratory et al, 2023). But the conversion to a standardized format (outside the collaboration or group) and public data sharing are only done following substantial analysis, hindering easy replication of the full analysis.…”

“…For example, it would become possible to easily find publicly available data, analyze it with a standardized pipeline that keeps track of all the parameters, and generate a visualization to share the results over the web-a stark contrast to how science is practiced today. In pursuit of this vision, many organizations, such as the Allen Institute for Brain Science (AIBS), Johns Hopkins Applied Physics Lab (APL), and the International Brain Laboratory (IBL), have made strides by standardizing and sharing data and analysis [10][11][12] . However, these efforts have not fully resolved the issues related to data sharing and reproducible analysis.…”

“…In pursuit of this vision, many organizations such as the Allen Institute for Brain Science (AIBS), Johns Hopkins Applied Physics Lab (APL), and the International Brain Laboratory (IBL) have made strides by standardizing and sharing data and analysis (De Vries et al, 2023; Hider et al, 2022; The International Brain Laboratory et al, 2023). However, these efforts have not fully resolved the issues related to sharing data and reproducing analysis.…”