# ABCD Course on Reproducible Data Analyses

> **NIH NIH R25** · FLORIDA INTERNATIONAL UNIVERSITY · 2021 · $99,659

## Abstract

PROJECT SUMMARY / ABSTRACT
The current proposal represents a collaborative partnership to develop a course on reproducible data ABCD
analyses. ReproNim: A Center for Reproducible Neuroimaging Computation, is a NIBIB-funded P41 Biomedical
Technology Resource Center (BTRC) whose vision is to help neuroimaging researchers achieve more
reproducible data analysis workflows and outcomes. The ReproNim approach relies on both technical
development of readily accessible, user-friendly computational tools and services that can be readily integrated
into current research practices and broad educational outreach about reproducibility to the neuroimaging
community at large, including developers as well as applied researchers across basic sciences and clinical
disciplines. To achieve this, we propose aims that include: instruction techniques that enhance the rigor and
reproducibility of research methods; a comprehensive background to the ABCD dataset; implementation of an
inclusive training model; support of interdisciplinary, team-based collaborations; and dissemination of the course
and project materials. Students will first receive didactic instruction across a 13-week online course that includes
lectures, readings, and data exercises. At the completion of the online course, students will attend a 5-day in-
person Project Week, where they will apply the skills learned, work towards completion of data project activities,
and learn to contribute to open source software. To complete the aims of this program, we have assembled an
interdisciplinary team of instructors and evaluators that includes ABCD Study Investigators, ReproNim team
members and collaborators, and non-ABCD/ReproNim researchers. Success will result in the generation of a
cadre of investigators that are well trained in the ways that support efficient, re-executable design and FAIR
practices, use of the ABCD (and other) data resources.

## Key facts

- **NIH application ID:** 10200738
- **Project number:** 5R25DA051675-02
- **Recipient organization:** FLORIDA INTERNATIONAL UNIVERSITY
- **Principal Investigator:** David Nelson Kennedy
- **Activity code:** R25 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $99,659
- **Award type:** 5
- **Project period:** 2020-07-01 → 2023-12-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10200738

## Citation

> US National Institutes of Health, RePORTER application 10200738, ABCD Course on Reproducible Data Analyses (5R25DA051675-02). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10200738. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*