Literature DB >> 23258402

Towards a European food composition data interchange platform.

Simone Bell1, Heikki Pakkala, Michael Paul Finglas.   

Abstract

Food composition data (FCD) comprises the description and identification of foods, as well as their nutrient content, other constituents, and food properties. FCD are required for a range of purposes including food labeling, supporting health claims, nutritional and clinical management, consumer information, and research. There have been differences within and beyond Europe in the way FCD are expressed with respect to food description, definition of nutrients and other food properties, and the methods used to generate data. One of the major goals of the EuroFIR NoE project (2005 - 10) was to provide tools to overcome existing differences among member states and parties with respect to documentation and interchange of FCD. The establishment of the CEN’s (European Committee for Standardisation) TC 387 project committee on Food Composition Data, led by the Swedish Standards Institute, and the preparation of the draft Food Data Standard, has addressed these deficiencies by enabling unambiguous identification and description of FCD and their quality, for dissemination and data interchange. Another major achievement of the EuroFIR NoE project was the development and dissemination of a single, authoritative source of FCD in Europe enabling the interchange and update of data between countries, and also giving access to users of FCD.

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Year:  2012        PMID: 23258402     DOI: 10.1024/0300-9831/a000113

Source DB:  PubMed          Journal:  Int J Vitam Nutr Res        ISSN: 0300-9831            Impact factor:   1.784


  4 in total

1.  Assessing and improving the quality of food composition databases for nutrition and health applications in Europe: the contribution of EuroFIR.

Authors:  Paul M Finglas; Rachel Berry; Siân Astley
Journal:  Adv Nutr       Date:  2014-09       Impact factor: 8.701

2.  Comparison of different approaches to calculate nutrient intakes based upon 24-h recall data derived from a multicenter study in European adolescents.

Authors:  Cristina Julián-Almárcegui; Silvia Bel-Serrat; Mathilde Kersting; German Vicente-Rodriguez; Genevieve Nicolas; Krishna Vyncke; Carine Vereecken; Willem De Keyzer; Laurent Beghin; Stefania Sette; Lena Halström; Eva Grammatikaki; Marcela Gonzalez-Gross; Sandra Crispim; Nadia Slimani; Luis Moreno; Stefaan De Henauw; Inge Huybrechts
Journal:  Eur J Nutr       Date:  2015-03-10       Impact factor: 5.614

3.  Identification of Requirements for Computer-Supported Matching of Food Consumption Data with Food Composition Data.

Authors:  Barbara Koroušić Seljak; Peter Korošec; Tome Eftimov; Marga Ocke; Jan van der Laan; Mark Roe; Rachel Berry; Sandra Patricia Crispim; Aida Turrini; Carolin Krems; Nadia Slimani; Paul Finglas
Journal:  Nutrients       Date:  2018-03-30       Impact factor: 5.717

4.  Comparing Calculated Nutrient Intakes Using Different Food Composition Databases: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Cohort.

Authors:  Heleen Van Puyvelde; Aurora Perez-Cornago; Corinne Casagrande; Geneviève Nicolas; Vickà Versele; Guri Skeie; Matthias B Schulze; Ingegerd Johansson; José María Huerta; Andreina Oliverio; Fulvio Ricceri; Jytte Halkjær; Pilar Amiano Etxezarreta; Koen Van Herck; Elisabete Weiderpass; Marc J Gunter; Inge Huybrechts
Journal:  Nutrients       Date:  2020-09-23       Impact factor: 5.717

  4 in total

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