The state of food composition databases: data attributes and FAIR data harmonization in the era of digital innovation

Top Things to Know

FCDBs show significant differences in the number of food samples and components, with high-income countries leading in data quality and updates.

While all FCDBs met the criteria for Findability, there were gaps in Accessibility, Interoperability, and Reusability.

The study emphasizes the importance of standardized methods and metadata to improve data accuracy and usability.

Summary of Conclusion/Findings

The study reviewed the current state of food composition databases (FCDBs) globally, focusing on data attributes and adherence to FAIR Data Principles (Findable, Accessible, Interoperable, and Reusable). It found substantial variability in the scope and content of FCDBs, with databases from high-income countries showing greater inclusion of primary data, more regular updates, and stronger adherence to FAIR principles. Only one-third of FCDBs reported data on more than 100 food components, and many databases were infrequently updated. The study highlighted the need for improved metadata, standardized analytical methods, and better data governance to enhance the utility of FCDBs.