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Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

by Hanke, Michael , Martone, Maryann E. , Abraham, Sanu A. , Grethe, Jeffrey S. , Keator, David B. , Poline, Jean-Baptiste , Sincomb, Troy , Crowley, Albert , Gillespie, Tom , Halchenko, Yaroslav O. , Haselgrove, Christian , Travers, Matt , Goncalves, Mathias , Padhy, Smruti , Hodge, Steven M. , Jarecka, Dorota , Bates, Julianna F. , Kaczmarzyk, Jakub , Preuss, Nina , Ghosh, Satrajit , Meyer, Kyle , Kennedy, David N.

in data model / Data models / Laboratories / Medical imaging / Neuroimaging / Neuroscience / Population / re-executability / reproducibility / Science

2019

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Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

in data model / Data models / Laboratories / Medical imaging / Neuroimaging / Neuroscience / Population / re-executability / reproducibility / Science

2019

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Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

in data model / Data models / Laboratories / Medical imaging / Neuroimaging / Neuroscience / Population / re-executability / reproducibility / Science

2019

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Journal Article

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

Hanke, Michael,

Martone, Maryann E.,

Abraham, Sanu A.,

Grethe, Jeffrey S.,

Keator, David B.,

Poline, Jean-Baptiste,

Sincomb, Troy,

Crowley, Albert,

Gillespie, Tom,

Halchenko, Yaroslav O.,

Haselgrove, Christian,

Travers, Matt,

Goncalves, Mathias,

Padhy, Smruti,

Hodge, Steven M.,

Jarecka, Dorota,

Bates, Julianna F.,

Kaczmarzyk, Jakub,

Preuss, Nina,

Ghosh, Satrajit,

Meyer, Kyle,

Kennedy, David N.

2019

Overview

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.

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Frontiers Research Foundation,Frontiers Media S.A

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