Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Yes ReproNim: Center for Reproducible Neuroimaging Computation NITRC ReproNim Training OS Independent Jean-Baptiste Poline Our Educational Objectives include: * Topical training in the issues that affect the reproducibility of neuroimaging research (data acquisition, experimental methods, analyses, reusability, and sharing of data and methods) * Development of a next-generation software developers that are versed in the techniques that promote reproducibility in the tools that promote reproducibility. * Train the trainer: we adopted the software and data carpentry philosophy and work to train individuals who will themselves train others. Our initial curriculum focuses on developing material that address reproducibility in four areas: * FAIR data * Computational basics * Reproducible workflows * Statistical tools in order to initiate a set of tools and practices that are reproducibility-enabled. Future curricula will extend the reach of these materials to encompass a broader community of researchers and will feature more training material on the tools developed by the ReproNim project. ReproNim Training Knowledge Environment, Course, Tutorial, Workshop, Multi-Media, MR, Web Environment, Developers, End Users, System Administrators, Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International, English, OS Independent, NiPyPe http://www.nitrc.org/projects/repronim_train/, http://https://www.repronim.org/teach.html jbpoline@gmail.com