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Related Experiment Video

Updated: Jul 12, 2025

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
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Visualizing Data Interoperability for Food Systems Sustainability Research-From Spider Webs to Neural Networks.

Emily M Jennings-Dobbs1, Shavawn M Forester1, Adam Drewnowski2

  • 1Nutrient Institute, Reno, NV, United States.

Current Developments in Nutrition
|November 2, 2023
PubMed
Summary
This summary is machine-generated.

Improving food systems requires connecting siloed data. Developing interoperability and crosswalks between databases is key for sustainable food research, from agriculture to health.

Keywords:
USDA FoodData Centralagricultureclimate changefood pricesinteroperabilitynutritionontologiespopulation health

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Area of Science:

  • Transdisciplinary research on sustainable food systems.
  • Integrates health, nutrition, economics, society, and environmental domains.

Background:

  • Global food systems face challenges feeding a growing population.
  • Lack of data interoperability across diverse research domains hinders progress.
  • Siloed databases on climate, agriculture, nutrition, and health impede comprehensive analysis.

Purpose of the Study:

  • To assess database interoperability for food systems research.
  • To identify gaps in crosswalks and data integration.
  • To demonstrate a proof of concept for enhancing data connectivity.

Main Methods:

  • Initiated assessment with the US Department of Agriculture FoodData Central.
  • Identified existing crosswalks and visualizations between databases.
  • Evaluated data from multiple disciplines including climate, soils, agriculture, nutrition, and health.

Main Results:

  • Demonstrated a proof-of-concept for visualising data interoperability.
  • Identified specific databases requiring expansion, integration, and harmonization.
  • Highlighted the underdeveloped nature of crosswalks connecting key food system data.

Conclusions:

  • Interoperability is crucial for advancing food systems research.
  • Ontologies and well-defined crosswalks are essential for connecting siloed data.
  • Bridging agricultural and health data pathways requires enhanced data integration.