The state of food composition databases: data attributes and FAIR data harmonization in the era of digital innovation
1
Issued Date
2025-01-01
Resource Type
eISSN
2296861X
Scopus ID
2-s2.0-105001980123
Journal Title
Frontiers in Nutrition
Volume
12
Rights Holder(s)
SCOPUS
Bibliographic Citation
Frontiers in Nutrition Vol.12 (2025)
Suggested Citation
Brinkley S., Gallo-Franco J.J., Vázquez-Manjarrez N., Chaura J., Quartey N.K.A., Toulabi S.B., Odenkirk M.T., Jermendi E., Laporte M.A., Lutterodt H.E., Annan R.A., Barboza M., Amare E., Srichamnong W., Jaramillo-Botero A., Kennedy G., Bertoldo J., Prenni J.E., Rajasekharan M., de la Parra J., Ahmed S. The state of food composition databases: data attributes and FAIR data harmonization in the era of digital innovation. Frontiers in Nutrition Vol.12 (2025). doi:10.3389/fnut.2025.1552367 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/109501
Title
The state of food composition databases: data attributes and FAIR data harmonization in the era of digital innovation
Author's Affiliation
Division of Chemistry and Chemical Engineering
Ethiopian Public Health Institute
Pontificia Universidad Javeriana, Cali
Bioversity International
Kwame Nkrumah University of Science & Technology
Centro Internacional de Agricultura Tropical
Rockefeller Foundation
University of California, Davis
Mahidol University
American Heart Association
Colorado State University
Instituto Nacional de la Nutrición Salvador Zubiran
Wageningen University & Research
Ethiopian Public Health Institute
Pontificia Universidad Javeriana, Cali
Bioversity International
Kwame Nkrumah University of Science & Technology
Centro Internacional de Agricultura Tropical
Rockefeller Foundation
University of California, Davis
Mahidol University
American Heart Association
Colorado State University
Instituto Nacional de la Nutrición Salvador Zubiran
Wageningen University & Research
Corresponding Author(s)
Other Contributor(s)
Abstract
Introduction: Food composition databases (FCDBs) are essential resources for characterizing, documenting, and advancing scientific understanding of food quality across the entire spectrum of edible biodiversity. This knowledge supports a wide range of applications with societal impact spanning the global food system. To maximize the utility of food composition data, FCDBs must adhere to criteria such as validated analytical methods, high-resolution metadata, and FAIR Data Principles (Findable, Accessible, Interoperable, and Reusable). However, complexity and variability in food data pose significant challenges to meeting these standards. Methods: In this study, we conducted an integrative review of 35 data attributes across 101 FCDBs from 110 countries. The data attributes were categorized into three groups: general database information, foods and components, and FAIRness. Results: Our findings reveal evaluated databases show substantial variability in scope and content, with the number of foods and components ranging from few to thousands. FCDBs with the highest numbers of food samples (≥1,102) and components (≥244) tend to rely on secondary data sourced from scientific articles or other FCDBs. In contrast, databases with fewer food samples and components predominantly feature primary analytical data generated in-house. Notably, only one-third of FCDBs reported data on more than 100 food components. FCDBs were infrequently updated, with web-based interfaces being updated more frequently than static tables. When assessed for FAIR compliance, all FCDBs met the criteria for Findability. However, aggregated scores for Accessibility, Interoperability, and Reusability for the reviewed FCDBs were 30, 69, and 43%, respectively. Discussion: These scores reflect limitations in inadequate metadata, lack of scientific naming, and unclear data reuse notices. Notably, these results are associated with country economic classification, as databases from high-income countries showed greater inclusion of primary data, web-based interfaces, more regular updates, and strong adherence to FAIR principles. Our integrative review presents the current state of FCDBs highlighting emerging opportunities and recommendations. By fostering a deeper understanding of food composition, diverse stakeholders across food systems will be better equipped to address societal challenges, leveraging data-driven solutions to support human and planetary health.