Food Composition Data Quality: Assessing Variation and Quality of Data from Different Sources
Abstract
Users of food composition data assume that all data is good quality and fit for purpose but quality can vary and depend on a wide range of factors. Different types of data, e.g. nutrients and bioactive compounds and data derived from different sources can differ in quality. The EuroFIR system for assessing data quality allows sources of variation to be evaluated. Evaluation of food description, component identification, sampling, number of analytical samples, sample handling, analytical method and analytical quality control allows users to assess data quality.
Event details
- Event
- tc23-2016