ABCD ReproNim Course

The ABCD-ReproNim Course provided training for reproducible analyses of the Adolescent Brain Cognitive Development (ABCD) Study® data.

Students received instruction on reproducible data analyses endorsed by ReproNim, a Center for Reproducible Neuroimaging Computation.

The 2020 and 2022 Courses have ended, but the materials are available for you to learn about reproducible ABCD analyses in a self-paced manner.

GitHub | YouTube Channel

Data Access Instructions


Course Design

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.

Program Participants

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.

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Learning Outcomes

The ABCD-ReproNim course was designed to achieve six learning outcomes:

  • ballot

    Compare different data types and resources in the ABCD dataset

  • ballot

    Compare different ReproNim computational tools and services

  • lock_open

    Demonstrate the ability to access and analyze ABCD data.

  • lock_open

    Demonstrate the ability to access and use open source software

  • assignment

    Describe best practices in reproducible neuroimaging and explain why they are important

  • group

    Develop and participate in one or more collaborative, team-based ABCD data projects