BIDS Apps: Improving Ease of Use, Accessibility, and Reproducibility of Neuroimaging Data Analysis Methods
Krzysztof Gorgolewski;Fidel Alfaro-Almagro;Tibor Auer;Pierre Bellec;Mihai Capotă;M. Mallar Chakravarty;Nathan Churchill;Alexander Li Cohen;R. Cameron Craddock;Gabriel Devenyi;Anders Eklund;Oscar Esteban;Guillaume Flandin;Satrajit Ghosh;J. Swaroop Guntupalli;Mark Jenkinson;Anisha Keshavan;Gregory Kiar;Franziskus Liem;Pradeep Reddy Raamana;David Raffelt;Christopher Steele;Pierre-Olivier Quirion;Robert Smith;Stephen Strother;Gaël Varoquaux;Yida Wang;Tal Yarkoni;Russell Poldrack
Abstract
The rate of progress in human neurosciences is limited by the inability to easily apply a wide range of analysis methods to the plethora of different datasets acquired in labs around the world. In this work, we introduce a framework for creating, testing, versioning and archiving portable applications for analyzing neuroimaging data organized and described in compliance with the Brain Imaging Data Structure (BIDS). The portability of these applications (BIDS Apps) is achieved by using container