# Administrative Core

> **NIH NIH P20** · SANFORD RESEARCH/USD · 2022 · $486,916

## Abstract

PROJECT SUMMARY 
To promote basic biomedical research in South Dakota and regionally, we have developed the Center for 
Pediatric Research. The primary mission of the center will be to mentor, train, and support junior scientists 
developing research programs that focus on the often poorly understood fundamental processes that underlie 
disease. As the foundation upon which translational research rests, these basic mechanisms are critical to 
our understanding of disease and its treatment or prevention. The Administrative Core is the keystone upon 
which the success of the Center rests and will support the goals of the Center through the following specific 
Aims: 1) To develop the next generation of scientists and leaders; 2) to provide oversight of research cores; 
3) to integrate Center activities with existing institutional programs; 4) to foster the future of the biomedical 
research; and 5) to evaluate Center progress. 
By following these Aims, the Administrative Core will continue to guide scientific and professional development 
of Project Leaders, oversee the success of technical Cores, promote integration of institutional and regional 
COBRE resources, and provide training and learning opportunities for the future biomedical workforce. As such, 
this Core is fundamental to the long-term sustainability and impact of the Center.

## Key facts

- **NIH application ID:** 10485293
- **Project number:** 5P20GM103620-10
- **Recipient organization:** SANFORD RESEARCH/USD
- **Principal Investigator:** Kyle J Roux
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $486,916
- **Award type:** 5
- **Project period:** 2013-09-01 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10485293

## Citation

> US National Institutes of Health, RePORTER application 10485293, Administrative Core (5P20GM103620-10). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10485293. Licensed CC0.

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