title: Improving food composition data quality: Three new FAO/INFOODS guidelines on conversions, data evaluation and food matching.
abstract: Food composition data play a key role in many sectors and the availability of quality data is critically important. Since 1984, the International Network of Food Data Systems (INFOODS) has been working towards improving food composition data quality and availability, including the development and updating of standards, guidelines and tools for food composition. FAO/INFOODS has recently published three comprehensive guidelines to improve and harmonise the compilation of data: (1) Guidelines for Food Matching, (2) Guidelines for Checking Food Composition Data prior to Publication of a User Table/Database, and (3) Guidelines for Converting Units, Denominators and Expressions. This article describes their content and development processes. Their adoption, along with additional ones planned for the future by FAO/INFOODS, should further improve the quality of published food composition data, which in turn can lead to more accurate nutrient intake estimates and more precise food labels, as well as better-targeted programs and policies.
authors.affiliation: FAO, Rome, Italy; USDA, Nutrient Data Laboratory, Beltsville, United States.
authors.forename: U Ruth
authors.initials: UR
authors.lastname: Charrondiere
authors.affiliation: FAO, Rome, Italy; USDA, Nutrient Data Laboratory, Beltsville, United States.
authors.forename: Doris
authors.initials: D
authors.lastname: Rittenschober
authors.affiliation: FAO, Rome, Italy; USDA, Nutrient Data Laboratory, Beltsville, United States.
authors.forename: Verena
authors.initials: V
authors.lastname: Nowak
authors.affiliation: FAO, Rome, Italy; USDA, Nutrient Data Laboratory, Beltsville, United States.
authors.forename: Barbara
authors.initials: B
authors.lastname: Stadlmayr
authors.affiliation: FAO, Rome, Italy; USDA, Nutrient Data Laboratory, Beltsville, United States.
authors.forename: Ramani
authors.initials: R
authors.lastname: Wijesinha-Bettoni
authors.affiliation: FAO, Rome, Italy; USDA, Nutrient Data Laboratory, Beltsville, United States.
authors.forename: David
authors.initials: D
authors.lastname: Haytowitz
mesh_terms: D016208:Databases, Factual; D005504:Food Analysis / Q000592:standards*; D063427:Food Quality; D006801:Humans
keywords: Checking; Conversion; Data quality; FAO/INFOODS; Food composition; Food matching; Guidelines