Automating Data Integration and Publishing for Neuroimaging via LSLAutoBIDS

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Authors: Manpa Barman, Benedikt Ehinger, Jan Range
Cited by: 0

Abstract

Researchers in cognitive neuroscience routinely collect large datasets with tens to hundreds of participants. Yet the processes of data integration, curation, version control, and publishing are rarely automated. Hence, we present such an automated workflow, implemented and distributed through our open-source Python package, LSLAutoBIDS. In our workflow, we rely on LabStreamingLayer (LSL) to integrate different streamable modalities (e.g., EEG, VR, experimental events) with

Fields of Study & Subjects

Research Data Management Practices Scientific Computing and Data Management Undergraduate Neuroscience Education and Research

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
4 March 2026
Language
EN