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Front Neuroinform. 2019 Feb 7;13:1. doi: 10.3389/fninf.2019.00001. eCollection 2019.

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging.

Author information

1
Eunice Kennedy Shriver Center, Department of Psychiatry, University of Massachusetts Medical School, Worcester, MA, United States.
2
McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
3
TCG, Inc., Washington, DC, United States.
4
Department of Neuroscience, University of California, San Diego, San Diego, CA, United States.
5
Department of Psychological and Brain Sciences, Dartmouth College, Dartmouth, NH, United States.
6
Institute of Psychology, University of Magdeburg, Magdeburg, Germany.
7
Department of Psychiatry and Human Behavior, University of California, Irvine, Irvine, CA, United States.
8
Department of Neurology and Neurosurgery, McGill University, Montreal, QC, Canada.

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.

KEYWORDS:

data model; neuroimaging; publication; re-executability; reproducibility

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