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Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

Authors :
David N. Kennedy
Satrajit S Ghosh
Tom Gillespie
Mathias Goncalves
Jeffrey Sean Grethe
Yaroslav O Halchenko
Michael Hanke
Dorota Jarecka
Jakub Kaczmarzyk
David Keator
Kyle Meyer
Maryann Elizabeth Martone
Jean-Baptiste Poline
Nina Preuss
Sanu Ann Abraham
Julianna F. Bates
Albert Crowley
Christian Haselgrove
Steven M. Hodge
Smruti Padhy
Troy Sincomb
Publication Year :
2018
Publisher :
Center for Open Science, 2018.

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.

Subjects

Subjects :
GeneralLiterature_MISCELLANEOUS

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........11b39782d8460c457a5718a2d0bc0be1
Full Text :
https://doi.org/10.31219/osf.io/u78a6