Frontiers in Neuroinformatics · 2019 · 120 citations · 28 references
Life SciencesData ScienceCognitive NeuroscienceComputational NeuroscienceNeural EngineeringBrain ImagingFunctional NeuroimagingNeural Data AnalysisNeural NetworksComputational ReproducibilityImage ReproducibilityMachine Learning In NeuroimagingReproducibility Assessment
Reproducibility concerns have surged across science, and in neuroimaging, promoting re‑executability of publications enables detailed examination of findings across processing approaches and populations. ReproNim is a funded initiative that seeks to facilitate the last‑mile implementation of core re‑executability tools to reduce barriers and increase adoption of standards in neuroimaging labs. It develops and deploys these tools to enable re‑executability of neuroimaging studies. The report summarizes the overall approach and tools developed by ReproNim in the neuroimaging domain.
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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