The ABCD Course on Reproducible Data Analyses was a free, open, and virtual educational program based on modern active learning educational approaches, including the use of inverted classroom practices, collaborative learning projects, and a hack week model. Using the “flipped classroom” approach, ABCD-ReproNim students first received didactic instruction across a 12-week online course that included asynchronous content delivery via video presentations. Additional course readings were provided to enhance and reinforce online lessons, and data exercises were assigned to ensure learning objectives were met. Students self-organized into small, collaborative learning groups and developed proposals for data analysis or resource development projects.
At the completion of the online course, students participated in a virtual Project Month, where they applied the skills learned and worked towards completion of their project activities and also learned to contribute to open-source software.
ABCD-ReproNim training is targeted to students, postdoctoral fellows, and early career faculty.
ReproNim tools and services are intended to support a wide range of users with varied backgrounds, from applied users with minimal or extensive experience in image analysis, physics, and computer science to technology developers and software engineers.