# 2016 Seafood HACCP Alliance Steering Committee Meeting

> **NIH FDA R13** · ASSOCIATION OF FOOD AND DRUG OFFICIALS · 2020 · $15,000

## Abstract

PROJECT SUMMARY/ABSTRACT
The Seafood HACCP Alliance was formed to foster a more uniform and current national
education, training and technical assistance program for the seafood industry and the federal,
state and local food inspectors. The Alliance approach is to develop basic education manuals and
conduct a series of 'train-the-trainer' courses to help prepare a cadre of instructors across the
nation. Likewise, through continuing project funds from FDA and the National Sea Grant College
Program, the Alliance offers a number of training sessions for the regional industries and
inspectors as well. In addition to Basic HACCP and the Alliance Train the Trainer programs,
training programs for sanitation are delivered both domestically and internationally. The Alliance
is also currently active in developing training programs for food transportation and food safety
issues associated with aquaculturally produced seafood products. Annual meetings of the
Seafood HACCP Alliance Steering Committee and Alliance Executive Committee bring together
seafood experts from federal and state governments, industry, trade associations, and academia
to address Alliance sustainability, relevance, and effectiveness in achieving its educational and
training functions.

## Key facts

- **NIH application ID:** 9898157
- **Project number:** 5R13FD005695-05
- **Recipient organization:** ASSOCIATION OF FOOD AND DRUG OFFICIALS
- **Principal Investigator:** Jacob Joseph Corby
- **Activity code:** R13 (R01, R21, SBIR, etc.)
- **Funding institute:** FDA
- **Fiscal year:** 2020
- **Award amount:** $15,000
- **Award type:** 5
- **Project period:** 2016-05-01 → 2022-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9898157

## Citation

> US National Institutes of Health, RePORTER application 9898157, 2016 Seafood HACCP Alliance Steering Committee Meeting (5R13FD005695-05). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9898157. Licensed CC0.

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