Reproducibility and efficiency in handling complex neurophysiological data

Denker, Michael; Scherberger, Hansjörg; Wachtler, Thomas; Grün, Sonja

doi:10.1515/nf-2020-0041

Journal Article

FZJ-2021-02257

Reproducibility and efficiency in handling complex neurophysiological data

Denker, M.FZJ* ; Grün, S.FZJ* ; Wachtler, T. ; Scherberger, H. (Corresponding author)

2021
De Gruyter Berlin

Neuroforum 27(1), 27- 34 (2021) [10.1515/nf-2020-0041]

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Please use a persistent id in citations: http://hdl.handle.net/2128/28428 doi:10.1515/nf-2020-0041

Abstract: Preparing a neurophysiological data set with the aim of sharing and publishing is hard. Many of the available tools and services to provide a smooth workflow for data publication are still in their maturing stages and not well integrated. Also, best practices and concrete examples of how to create a rigorous and complete package of an electrophysiology experiment are still lacking. Given the heterogeneity of the field, such unifying guidelines and processes can only be formulated together as a community effort. One of the goals of the NFDI-Neuro consortium initiative is to build such a community for systems and behavioral neuroscience. NFDI-Neuro aims to address the needs of the community to make data management easier and to tackle these challenges in collaboration with various international initiatives (e.g., INCF, EBRAINS). This will give scientists the opportunity to spend more time analyzing the wealth of electrophysiological data they leverage, rather than dealing with data formats and data integrity.

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