Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging. Kennedy, D. N., Abraham, S. A., Bates, J. F., Crowley, A., Ghosh, S., Gillespie, T., Goncalves, M., Grethe, J. S., Halchenko, Y. O., Hanke, M., Haselgrove, C., Hodge, S. M., Jarecka, D., Kaczmarzyk, J., Keator, D. B., Meyer, K., Martone, M. E., Padhy, S., Poline, J., Preuss, N., Sincomb, T., & Travers, M. Frontiers in Neuroinformatics, 2019. Publisher: Frontiers![Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex 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.
@article{kennedy_everything_2019,
title = {Everything {Matters}: {The} {ReproNim} {Perspective} on {Reproducible} {Neuroimaging}},
volume = {13},
issn = {1662-5196},
shorttitle = {Everything {Matters}},
url = {https://www.frontiersin.org/articles/10.3389/fninf.2019.00001/full},
doi = {10.3389/fninf.2019.00001},
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.},
language = {English},
urldate = {2020-09-16},
journal = {Frontiers in Neuroinformatics},
author = {Kennedy, David N. and Abraham, Sanu A. and Bates, Julianna F. and Crowley, Albert and Ghosh, Satrajit and Gillespie, Tom and Goncalves, Mathias and Grethe, Jeffrey S. and Halchenko, Yaroslav O. and Hanke, Michael and Haselgrove, Christian and Hodge, Steven M. and Jarecka, Dorota and Kaczmarzyk, Jakub and Keator, David B. and Meyer, Kyle and Martone, Maryann E. and Padhy, Smruti and Poline, Jean-Baptiste and Preuss, Nina and Sincomb, Troy and Travers, Matt},
year = {2019},
note = {Publisher: Frontiers},
keywords = {Neuroimaging, Re-executable publication, data model, publication, reproducability},
}
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