Evolutional Data Quality: A Theory-Specific View.

摘要: A data evolution life cycle typically consists of four stages activities: collection, organization, presentation, and application. During the cycle, evolve as per needs specifications a theory. In this paper we propose concept theory-specific quality (DQ) that stipulates DQ is defined measured extent to which meet Depending on when theory applied during evolution, define respectively at application levels. We derive measurement attributes based fishbone cause-effect diagram. compare our models with existing ones point future research directions further validate apply proposed models.