A scope classification of data quality requirements for food composition data

• Set of 451 data quality requirements for food composition data.
• Definition of a scope classification to differentiate data quality requirements.
• Two concepts for data quality deficiency prevention and data quality analysis.
• Implementation of the scope classification in the FoodCASE system.

Data quality is an important issue when managing food composition data since the usage of the data can have a significant influence on policy making and further research. Although several frameworks for data quality have been proposed, general tools and measures are still lacking. As a first step in this direction, we investigated data quality requirements for an information system to manage food composition data, called FoodCASE. The objective of our investigation was to find out if different requirements have different impacts on the intrinsic data quality that must be regarded during data quality assessment and how these impacts can be described. We refer to the resulting classification with its categories as the scope classification of data quality requirements. As proof of feasibility, the scope classification has been implemented in the FoodCASE system.