Designing Workflows for the Reproducible Analysis of Electrophysiological Data

Amunts, Katrin; Grün, Sonja; Petkov, Nicolai; Denker, Michael; Grandinetti, Lucio; Lippert, Thomas

doi:10.1007/978-3-319-50862-7_5

Contribution to a conference proceedings/Contribution to a book

FZJ-2017-00395

Designing Workflows for the Reproducible Analysis of Electrophysiological Data

Amunts, K. (Editor)FZJ* ; Grandinetti, L. (Editor) ; Lippert, T. (Editor)FZJ* ; Petkov, N. (Editor) ; Denker, M. (Corresponding author)FZJ* ; Grün, S.FZJ*

2016
Springer International Publishing Cham
ISBN: 978-3-319-50861-0 (print), 978-3-319-50862-7 (electronic)

Brain-Inspired Computing / Amunts, Katrin (Editor) ; Cham : Springer International Publishing, 2016, Chapter 5 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-50861-0=978-3-319-50862-7
BrainComp 2015, , Cham : Springer International Publishing, Lecture Notes in Computer Science 10087, 58 - 72 (2016) [10.1007/978-3-319-50862-7_5]

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Please use a persistent id in citations: doi:10.1007/978-3-319-50862-7_5

Abstract: The workflows that cover the experimental recording of neuronal data up to the publication of figures that illustrate neuroscientific analysis results are interwoven and complex. Unfortunately, current implementations of such workflows of electrophysiological research are far from being automatized, and software supporting such a goal is largely in development or missing. In consequence, the level of reproducibility of data analysis is poor compared to other scientific disciplines. Although the problem is well-known and leads to ineffective, unsustainable science, there is no solution in sight in terms of a complete, provenance-tracked workflow. Here, we outline principle challenges that complicate the design of workflows for electrophysiological research. We detail how existing tools can be integrated to form partial workflows which address some of the challenges. On the basis of a concrete workflow implementation we discuss open questions and urgently needed software components.

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