AUTHOR=Kennedy David N. , Abraham Sanu A. , Bates Julianna F. , Crowley Albert , Ghosh Satrajit , Gillespie Tom , Goncalves Mathias , Grethe Jeffrey S. , Halchenko Yaroslav O. , Hanke Michael , Haselgrove Christian , Hodge Steven M. , Jarecka Dorota , Kaczmarzyk Jakub , Keator David B. , Meyer Kyle , Martone Maryann E. , Padhy Smruti , Poline Jean-Baptiste , Preuss Nina , Sincomb Troy , Travers Matt TITLE=Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging JOURNAL=Frontiers in Neuroinformatics VOLUME=13 YEAR=2019 URL=https://www.frontiersin.org/journals/neuroinformatics/articles/10.3389/fninf.2019.00001 DOI=10.3389/fninf.2019.00001 ISSN=1662-5196 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.