# Discipline D: Special Project 2. NFSDX and ORAPP Integration

> **NIH FDA U19** · MISSISSIPPI STATE UNIVERSITY · 2020 · $20,000

## Abstract

Abstract 
In response to the FDA's Laboratory Flexible Funding Model program announcement, the 
Mississippi State Chemical Laboratory (MSCL) has submitted a robust proposal titled 
“Enhancement of Mississippi's Capabilities in Integrated Food Safety Partnerships.” This plan 
encompasses six projects: 
• Discipline B: Chemistry, Analytical Track 1. Food Defense (Years 1-5) 
• Discipline B: Chemistry, Analytical Track 2. Human Food Product Testing (Years 1-5) 
• Discipline B: Chemistry, Analytical Track 3. Animal Food Product Testing (Years 1-5) 
• Discipline D: Special Projects 1. Sample Collection (Years 1-5) 
• Discipline D: Special Projects 2. NFSDX and ORAPP Integration (Year 1 only) 
• Discipline D: Special Projects 3. Method Development/Validation (Year 2 only) 
Information science or data sharing refers to the collection; organization, storage, exchange, 
interpretation, and use of information are critical to the success of a risk-based decision-making. The 
FDA has established National Food Safety Date Exchange (NFSDX) as a secure food safety data-sharing 
network that allows health officials from multiple government agencies to access, share, and analyze 
food-testing results from state and federal labs. Recognizing the importance of real time data sharing 
plays in food safety the MSCL has proposed a comprehensive plan to streamline data upload to the ORA 
Partner Portal.

## Key facts

- **NIH application ID:** 10173410
- **Project number:** 1U19FD007069-01
- **Recipient organization:** MISSISSIPPI STATE UNIVERSITY
- **Principal Investigator:** Christina Valsamakis Childers
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $20,000
- **Award type:** 1
- **Project period:** 2020-09-01 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10173410

## Citation

> US National Institutes of Health, RePORTER application 10173410, Discipline D: Special Project 2. NFSDX and ORAPP Integration (1U19FD007069-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10173410. Licensed CC0.

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