Common Ground: Both studies focus on improving data sharing and standardization in neuroscience using the FAIR principles and the EBRAINS infrastructure.
Key Differences: The current study emphasizes a data curation workflow targeting diverse neuroscience datasets, while the recommended study introduces the SHAREbrain workflow for standardizing neurophysiology data, specifically electrophysiological and 2-photon imaging data.
Methodologies: The current study uses documentation, tools, and metadata compliance with openMINDS, integrated via the EBRAINS Knowledge Graph. The recommended study employs the NANSEN platform for metadata registration, data export to NWB format, and file organization via the BIDS standard.
Complementary Aspects: The current study provides a comprehensive data curation process, while the recommended study offers a modular and interactive approach for specific neurophysiology data types utilizing user interfaces for flexibility.
Potential Impact: Combining workflows could enhance metadata standards and interoperability across diverse neuroscience data, facilitating broader data reuse and integration.

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