Lucia Segovia de la Revilla , Thomas Codd , Edward J.M. Joy , Liberty Mlambo , Fernanda Grande , Doris Rittenschober , Ana Moltedo , Bridget A. Holmes , E. Louise Ander
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Our aim was to develop a framework and tools for compilation and reporting of reproducible FCTs/NCTs, through expanding the fish and other aquatic products in the global NCT for the Food and Agriculture Organization of the United Nations (FAO) Supply and Utilization Accounts.</div><div>FAO/ International Network of Food Data Systems (INFOODS) guidelines, and open science tools were used for processing. New R functions and scripts were developed to: import and standardise 12 FCTs; re-calculate food components; perform quality checks; and format outputs (e.g., spreadsheets).</div><div>This resulted in the expansion of the global NCT, providing information on 32 food components for 95 fish and other aquatic products. The workflow takes 160 s to run. The scripts are publicly available in GitHub, with a manual, and can be used or adapted.</div><div>These open science tools provide a novel resource to create, update and expand FCTs/NCTs in a reproducible, reusable, efficient, and transparent manner, for use in nutrition research. food composition data for nutrition research.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"137 ","pages":"Article 106894"},"PeriodicalIF":4.0000,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An open science framework and tools to create reproducible food composition data for use in nutrition\",\"authors\":\"Lucia Segovia de la Revilla , Thomas Codd , Edward J.M. Joy , Liberty Mlambo , Fernanda Grande , Doris Rittenschober , Ana Moltedo , Bridget A. Holmes , E. Louise Ander\",\"doi\":\"10.1016/j.jfca.2024.106894\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Food composition tables and databases (FCTs) and Nutrient Conversion Tables (NCTs) are essential for nutrition research. Compiling a new NCT requires multiple FCTs, usually with incompatible formats. FCT cleaning and standardisation is rarely reproducible and requires significant resources. Our aim was to develop a framework and tools for compilation and reporting of reproducible FCTs/NCTs, through expanding the fish and other aquatic products in the global NCT for the Food and Agriculture Organization of the United Nations (FAO) Supply and Utilization Accounts.</div><div>FAO/ International Network of Food Data Systems (INFOODS) guidelines, and open science tools were used for processing. New R functions and scripts were developed to: import and standardise 12 FCTs; re-calculate food components; perform quality checks; and format outputs (e.g., spreadsheets).</div><div>This resulted in the expansion of the global NCT, providing information on 32 food components for 95 fish and other aquatic products. The workflow takes 160 s to run. The scripts are publicly available in GitHub, with a manual, and can be used or adapted.</div><div>These open science tools provide a novel resource to create, update and expand FCTs/NCTs in a reproducible, reusable, efficient, and transparent manner, for use in nutrition research. food composition data for nutrition research.</div></div>\",\"PeriodicalId\":15867,\"journal\":{\"name\":\"Journal of Food Composition and Analysis\",\"volume\":\"137 \",\"pages\":\"Article 106894\"},\"PeriodicalIF\":4.0000,\"publicationDate\":\"2024-10-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Food Composition and Analysis\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0889157524009281\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157524009281","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
An open science framework and tools to create reproducible food composition data for use in nutrition
Food composition tables and databases (FCTs) and Nutrient Conversion Tables (NCTs) are essential for nutrition research. Compiling a new NCT requires multiple FCTs, usually with incompatible formats. FCT cleaning and standardisation is rarely reproducible and requires significant resources. Our aim was to develop a framework and tools for compilation and reporting of reproducible FCTs/NCTs, through expanding the fish and other aquatic products in the global NCT for the Food and Agriculture Organization of the United Nations (FAO) Supply and Utilization Accounts.
FAO/ International Network of Food Data Systems (INFOODS) guidelines, and open science tools were used for processing. New R functions and scripts were developed to: import and standardise 12 FCTs; re-calculate food components; perform quality checks; and format outputs (e.g., spreadsheets).
This resulted in the expansion of the global NCT, providing information on 32 food components for 95 fish and other aquatic products. The workflow takes 160 s to run. The scripts are publicly available in GitHub, with a manual, and can be used or adapted.
These open science tools provide a novel resource to create, update and expand FCTs/NCTs in a reproducible, reusable, efficient, and transparent manner, for use in nutrition research. food composition data for nutrition research.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.