Establishing a Common Nutritional Vocabulary - From Food Production to Diet

Liliana Andrés-Hernández; Kai Blumberg; Ramona L Walls; Damion Dooley; Ramil Mauleon; Matthew Lange; Magalie Weber; Lauren Chan; Adnan Malik; Anders Møller; Jayne Ireland; Lucia Segovia; Xuhuiqun Zhang; Britt Burton-Freeman; Paul Magelli; Andrew Schriever; Shavawn M Forester; Lei Liu; Graham J King

doi:10.3389/fnut.2022.928837

Establishing a Common Nutritional Vocabulary - From Food Production to Diet

Front Nutr. 2022 Jun 21:9:928837. doi: 10.3389/fnut.2022.928837. eCollection 2022.

Authors

Liliana Andrés-Hernández¹, Kai Blumberg², Ramona L Walls^{2

3}, Damion Dooley⁴, Ramil Mauleon¹, Matthew Lange⁵, Magalie Weber⁶, Lauren Chan⁷, Adnan Malik⁸, Anders Møller⁹, Jayne Ireland⁹, Lucia Segovia¹⁰, Xuhuiqun Zhang¹¹, Britt Burton-Freeman¹¹, Paul Magelli¹², Andrew Schriever¹², Shavawn M Forester¹³, Lei Liu¹, Graham J King^{1

14}

Affiliations

¹ Southern Cross Plant Science, Southern Cross University, Lismore, NSW, Australia.
² Department of Biosystems Engineering, University of Arizona, Tucson, AZ, United States.
³ Data Collaboration Center at the Critical Path Institute, Tucson, AZ, United States.
⁴ Faculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.
⁵ International Center for Food Ontology Operability Data & Semantics (IC-FOODS), Davis, CA, United States.
⁶ INRAE, UR BIA, Nantes, France.
⁷ Nutrition Department, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR, United States.
⁸ European Bioinformatics Institute, European Molecular Biology Laboratory (EMBL-EBI), Hinxton, United Kingdom.
⁹ Danish Food Informatics, Roskilde, Denmark.
¹⁰ London School of Hygiene and Tropical Medicine, University of London, London, United Kingdom.
¹¹ Illinois Institute of Technology, Chicago, IL, United States.
¹² WISEcode LLC, Reno, NV, United States.
¹³ Nutrient Institute LLC, a Non-profit, Reno, NV, United States.
¹⁴ School of Biosciences, University of Nottingham, Sutton Bonington, United Kingdom.

Abstract

Informed policy and decision-making for food systems, nutritional security, and global health would benefit from standardization and comparison of food composition data, spanning production to consumption. To address this challenge, we present a formal controlled vocabulary of terms, definitions, and relationships within the Compositional Dietary Nutrition Ontology (CDNO, www.cdno.info) that enables description of nutritional attributes for material entities contributing to the human diet. We demonstrate how ongoing community development of CDNO classes can harmonize trans-disciplinary approaches for describing nutritional components from food production to diet.

Keywords: FAIR data; dietary composition; food composition; human health; knowledge representation; nutritional security; ontologies.

Abstract

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