Automating data integration and publishing for neuroimaging via LSLAutoBIDS
Abstract
Cognitive neuroscience routinely collect large datasets, yet data integration, management, version control, and publishing is rarely automated. Here, we present such a workflow, offering open science by design, with an implementation in the python based `LSLAutoBIDS` open-source package. We first describe our exemplary workflow based on LabStreamingLayer (to integrate), BIDS (to transform), DataLad (to version), and Dataverse (to publish), before discussing the place such tools can have in future data collection efforts.
Fields of Study & Subjects
Biomedical Text Mining and Ontologies
Scientific Computing and Data Management
Publication details
- Journal / source
- Aperture Neuro
- Volume
- 6
- Issue
- SI 1
- Publication date
- 6 April 2026
- Language
- EN