EuroFIR quality approach for managing food composition data; where are we in 2014?. (15th February 2016)

• Record Type: Journal Article
• Authors: Westenbrink, Susanne; Roe, Mark; Oseredczuk, Marine; Castanheira, Isabel; Finglas, Paul
• Is Part Of: Food chemistry. Volume 193(2016)
• Page Start: 69
• Page End: 74
• Publication Date: 2016-02-15
• Subjects: Data quality -- Food composition data -- EuroFIR -- Quality management system -- Food composition database; Food -- Analysis -- Periodicals; Food -- Composition -- Periodicals; 664
• DOI: 10.1016/j.foodchem.2015.02.110
• Languages: English
• ISSNs: 0308-8146

Abstract

Highlights: EuroFIR quality management framework build to assure food composition data quality. Basic and additional elements of EuroFIR quality management framework described. Peer reviews of European compiler organizations to evaluate quality framework applied. Peer reviews demonstrate good use of EuroFIR standards by European compilers. Abstract: A EuroFIR quality management framework was developed to assure data quality of food composition data, incorporating several recommendations developed or improved during the EuroFIR projects. A flow chart of the compilation process with standard operating procedures to assure critical steps was the starting point. Recommendations for food description, component identification, value documentation, recipe calculation, quality evaluation of values, guidelines to assess analytical methods, document and data repositories and training opportunities were harmonized as elements of the quality framework. European food composition database organizations reached consensus on the EuroFIR quality framework and started implementation. Peer reviews of the European compiler organizations were organized to evaluate the quality framework, focusing on what was achieved and on improvements needed. The reviews demonstrated that European food database compilers have made good use of standards and guidelines produced by EuroFIR, as well as a common understanding that a quality framework is essential to assure food composition data quality.