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. 2023 Mar;20(3):403-407.
doi: 10.1038/s41592-022-01742-6. Epub 2023 Mar 2.

A modular architecture for organizing, processing and sharing neurophysiology data

Collaborators, Affiliations

A modular architecture for organizing, processing and sharing neurophysiology data

International Brain Laboratory et al. Nat Methods. 2023 Mar.

Abstract

We describe an architecture for organizing, integrating and sharing neurophysiology data within a single laboratory or across a group of collaborators. It comprises a database linking data files to metadata and electronic laboratory notes; a module collecting data from multiple laboratories into one location; a protocol for searching and sharing data and a module for automatic analyses that populates a website. These modules can be used together or individually, by single laboratories or worldwide collaborations.

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Conflict of interest statement

Competing Interests

The authors declare the following competing interests: E.Y.W. hold equity ownership in VathesLLC which provides development and consulting for the framework (DataJoint) described in this work. The remaining authors declare no competing interests

Figures

Figure 1
Figure 1
IBL data architecture. The “Alyx” database links colony management and electronic lab notebook metadata to experimental data files on a lab data server. Data from multiple labs are integrated on a central server, and distributed job management coordinates pre-processing on lab servers. Data are accessed via the Open Neurophysiology Environment (ONE) protocol, with adaptors for Neurodata Without Borders (NWB), and DataJoint, which also performs pipelined analyses for automatic display on a website.

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