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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
Summary
Improving food systems requires connecting siloed data. Developing interoperability and crosswalks between databases is key for sustainable food research, from agriculture to health.
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.
Keywords:
USDA FoodData Centralagricultureclimate changefood pricesinteroperabilitynutritionontologiespopulation healthMore Related Videos
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