The ABCD Course on Reproducible Data Analyses is a free, open, and virtual educational program based on modern active learning educational approaches and includes the use of inverted classroom practices, collaborative learning projects, and a hack week model. Using the “flipped classroom” approach, ABCD-ReproNim students will first receive didactic instruction across a 12-week online course that includes asynchronous content delivery via video presentations. Additional course readings will be provided to enhance and reinforce online lessons, and data exercises will be assigned to ensure learning objectives are met. During this time, students will self-organize into small, collaborative learning groups and develop proposals for data analysis or resource development projects.
At the completion of the online course, enrolled students will participate in a virtual Project Month, where they will apply the skills learned and work towards completion of their project activities and also learn 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 background, from applied users with minimal or extensive experience in image analysis, physics, and computer science to technology developers and software engineers.