Lessons learned: A neuroimaging research center's transition to open and reproducible science
Human functional neuroimaging has evolved dramatically in recent years, driven by increased technical complexity and emerging evidence that functional neuroimaging findings are not generally reproducible. In response to these trends, neuroimaging scientists have developed principles, practices, and...
Main Authors: | Keith A. Bush, Maegan L. Calvert, Clinton D. Kilts |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-08-01
|
Series: | Frontiers in Big Data |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fdata.2022.988084/full |
Similar Items
-
Using Make for Reproducible and Parallel Neuroimaging Workflow and Quality Assurance
by: Mary K. Askren, et al.
Published: (2016-02-01) -
Open and reproducible science practices in psychoneuroendocrinology: Opportunities to foster scientific progress
by: Maria Meier, et al.
Published: (2022-08-01) -
Enhancing collaborative neuroimaging research: introducing COINSTAC Vaults for federated analysis and reproducibility
by: Dylan Martin, et al.
Published: (2023-06-01) -
A Short Introduction to the Reproducibility Debate in Psychology
by: Cedric Galetzka
Published: (2019-05-01) -
Teaching Computational Reproducibility for Neuroimaging
by: K. Jarrod Millman, et al.
Published: (2018-10-01)