Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

Frontiers in Neuroinformatics
David N KennedyMatt Travers

Abstract

There has been a recent major upsurge in the concerns about reproducibility in many areas of science. Within the neuroimaging domain, one approach is to promote reproducibility is to target the re-executability of the publication. The information supporting such re-executability can enable the detailed examination of how an initial finding generalizes across changes in the processing approach, and sampled population, in a controlled scientific fashion. ReproNim: A Center for Reproducible Neuroimaging Computation is a recently funded initiative that seeks to facilitate the "last mile" implementations of core re-executability tools in order to reduce the accessibility barrier and increase adoption of standards and best practices at the neuroimaging research laboratory level. In this report, we summarize the overall approach and tools we have developed in this domain.

References

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Citations

Jun 10, 2020·Nature Protocols·Oscar EstebanKrzysztof J Gorgolewski
Jul 17, 2020·Nature Reviews. Neurology·Monika A MyszczynskaLaura Ferraiuolo
Jun 9, 2020·Frontiers in Neuroinformatics·Michael KainMichel Dojat
Jun 9, 2020·Computational and Mathematical Methods in Medicine·Jinlong HuPing Li
Jan 1, 2021·Developmental Cognitive Neuroscience·Eduard T KlapwijkKathryn L Mills
Dec 12, 2020·Journal of the American Academy of Child and Adolescent Psychiatry·Tonya J H WhiteDouglas K Novins
May 2, 2021·Neuron·Rémi GauUNKNOWN Brainhack Community
May 19, 2021·Neuroinformatics·Samir DasAlan C Evans

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Software Mentioned

ReproNim
Conda
containers
SPM
Amazon Web
R R
DataLad
HeuDiConv
GitHub
Singularity

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