title: Compilation of food composition data sets: an analysis of user needs through the Use Case approach.
abstract: OBJECTIVE
  The objective of this study was to identify the common requirements of users involved in the compilation of food composition data sets with a view to informing the development of a common access system to food composition data, within the European Food Information Resource (EuroFIR) project.
  
  
  METHODS
  A number of examples of food composition data set compilation have been examined using the Use Case approach, namely the compilation of a data set for a national nutrition survey, for a cross-national nutrition study and for a nutritional software programme.
  
  
  RESULTS
  The key user requirement identified from the compilation step analysed by the Use Case approach is the increased availability of and access to more detailed food composition data on a wider range of foods and nutrients.
  
  
  CONCLUSIONS
  Food composition data serve a variety of purposes, and different user groups will often have both common needs and more individual or specific needs of their data sets. The development of Use Cases for specific processes effectively identifies the needs of users, highlighting any similarities and/or differences in those needs. The application of the Use Case approach to support the software development activities within EuroFIR will ensure that user needs are effectively identified and captured in a systematic and documented way.
authors: Food, Consumer Behaviour and Health Research Centre, Department of Psychology, Faculty of Arts and Human Sciences, University of Surrey, Guildford, UK. m.egan@surrey.ac.uk
authors: B
authors: B
authors: Egan
authors: C
authors: C
authors: Hodgkins
authors: A
authors: A
authors: Fragodt
authors: M
authors: M
authors: Raats
mesh_terms: D016208:Databases, Factual; D004032:Diet; D005060:Europe; D005504:Food Analysis; D006301:Health Services Needs and Demand; D006801:Humans; D015596:Nutrition Assessment; D009749:Nutrition Surveys; D052756:Nutritional Sciences; D009753:Nutritive Value; D012984:Software