Browsing by Author "Finglas, Paul"
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- EuroFIR Nexus - WP1 – Quality standards,certification and thesauri supportPublication . Calhau, Maria Antónia; Castanheira, Isabel; Becker, Wulf; Finglas, Paul; Roe, Mark; Columbani, Paolo; Moller, Anders; Ireland, Jayne; Bell, Simone; Unwin, IanPresentation to all project partners of the tasks and work progress of the workpackage since the begining
- EuroFIR Nexus WP1Publication . Calhau, Maria Antónia; Castanheira, Isabel; Becker, Wulf; Finglas, Paul; Roe, Mark; Columbani, Paolo; Moller, Anders; Ireland, Jayne; Bell, Simone; Unwin, IanPresentation of quality workpackage objectives, partners, timeschedule and tasks
- EuroFIR Nexus-WP1 – Quality standards, certification and thesauri supportPublication . Calhau, Maria Antónia; Castanheira, Isabel; Becker, Wulf; Finglas, Paul; Roe, Mark; Columbani, Paolo; Moller, Anders; Ireland, Jayne; Bell, Simone; Unwin, IanStatus and progress of quality workpackage
- EuroFIR quality approach for managing food composition data; where are we in 2014?Publication . Westenbrink, Susanne; Roe, Mark; Oseredczuk, Marine; Castanheira, Isabel; Finglas, PaulA 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.
- Food Data Interchange between GS1® Portugal, INSA and EuroFIR Enabling Improved Labelling and Consumer Food InformationPublication . Oliveira, Luisa; Águas, Beatriz; Finglas, Paul
- Methods to Express Dispersion of Results in Food Composition DataPublication . Castanheira, Isabel; Coelho, Inês; Gueifão, Sandra; Matos, Ana Sofia; Roe, Mark; Calhau, Maria Antónia; Finglas, PaulIn Europe one feature of National Food Composition Databanks (nFCDBs) is to provide data soundly supported in standardized quality assurance procedures. It is now widely recognized that the evaluation of the degree of dispersion associated with a result is an essential part of any quantitative analysis. According to recent requirements the concept of data quality incorporates the evaluation of the measurement uncertainty (MU) as an indicator of the reliability of the result. The aim of this work is to study the typification of approaches used to estimate measurement uncertainty in food composition analysis in compliance with the criteria established in the “Guide to the expression of uncertainty in measurement (GUM)”. The work addressed the approaches founded on the modelling of the measurement process as described in the GUM (chapter 8), and on the experimental approaches, typically precision and bias data, obtained from within-laboratory validation studies, quality controls, inter-laboratory method validation studies or proficiency testing schemes.
- Six Sigma scale as a quality criterion for aggregation of food property measuresPublication . Castanheira, Isabel; Matos, Ana Sofia; Coelho, Inês; Gueifão, Sandra; Roe, Mark; Calhau, Maria Antónia; Finglas, PaulThe EuroFIR (European Food Information Resource) quality management framework is a recent development to process standardization in data compilation for European Food Composition Data Banks. Data aggregation procedures taken from scientific literature as well as from analytical laboratory reports are still under discussion; however, the Six Sigma concept may be a useful approach, and therefore this work evaluates the concept. The Six Sigma approach was applied directly to analytical data taken from both laboratory reports and scientific literature. Sigma levels are calculated as indicators of laboratory test performance and the approach for data and laboratory selection is discussed. The results provide additional information on the quality of analytical data, allowing compilers and users to assess bias and imprecision for single and aggregate values. The Six Sigma approach is a complementary methodology to the quality methodologies already in use for data compilation processes and can be applied to further improve data quality.
- The EuroFIR Food Platform: Further integration, refinement and exploitation for its long-term self-sustainability - Final list of certified FCDB compiler organizations and future plans for continuation of the certification schemePublication . Roe, Mark; Finglas, Paul; Lindroos, Anna-Karin; Castanheira, Isabel; Giertlová, Anna; Westenbrink, Susanne; Beernaert, HedwigThe planned certification of food composition database (FCDB) Compiler organizations is a key part of the overall quality framework that was developed in EuroFIR NoE and further extended in Nexus (WP1). Task 1.2.2 requires assessment of up to a maximum 20 national FCDB Compiler organisations over 2 years and overall recommendations for continuation in the future. This report describes reviews of 16 FCDB Compiler organisations and summarises conclusions based on the reports. FCDB Compiler organisations have benefitted from the opportunity to review their data compilation processes and identify areas that could be improved and this information is important for their own organisation and management operations. The reviews have demonstrated the impact of EuroFIR developed guidelines for compilation processes and how FCDB Compilers have implemented quality management frameworks.
- The EuroFIR Food Platform: Further integration, refinement and exploitation for its long-term self-sustainability - Report on 1st year certification schemePublication . Roe, Mark; Finglas, Paul; Lindroos, Anna-Karin; Castanheira, Isabel; Giertlová, Anna; Westenbrink, Susanne; Bell, Simone; Beernaert, HedwigThe planned certification of food database FCDB Compiler organizations is a key part of the overall quality framework that was developed in EuroFIR NoE and further extended in Nexus (WP1). Task 1.2.2 requires assessment of up to a maximum 20 national Food Composition Database FCDB Compiler organisations during 2years and overall recommendations for continuation in the future. This report describes reviews of 10 FCDB Compiler organisations and summarises initial conclusions. FCDB Compiler organisations have benefitted from the opportunity to review their data compilation processes and identify areas that could be improved and this information is important for their own organisation and management operations. The reviews have demonstrated the impact of EuroFIR developed guidelines for compilation processes and how FCDB Compilers have implemented quality management frameworks.
- The EuroFIR Food Platform: Further integration, refinement and exploitation for its long-term self-sustainability-Report on Framework for certification SchemePublication . Roe, Mark; Finglas, Paul; Lindroos, Anna-Karin; Castanheira, Isabel; Turzova, Anna; Westenbrink, Susanne; Beernaert, HedwigCertification of compiler organizations is an issue that is part of Workpackage1 on quality standards, certification and thesauri support. Task 1.2.2 requires assessment of 20 national FCDB compiler organisations during the EuroFIR Nexus project. This report describes a framework for the process of evaluating quality assurance procedures related to the process of compilation, management and publication of food composition data. Each compiler organization will be organized and work in different ways but compilers are expected to work within the general framework described by the EuroFIR generic compilation flowchart and will compile data that is compatible with the Eurofir technical annex and with the CEN standard. The aim of the evaluation audits will be to identify strengths and weaknesses of each compiler organisation and improve quality systems through identification and dissemination of ‘best practice’ processes.
