Grupo Alarcos · Journal article · 2023
A Data Quality Model for Master Data Repositories
Fernando Gualo Cejudo, Ismael Caballero Muñoz-Reja, Moisés Rodríguez Monje, Mario Piattini Velthuis
Master data has been revealed as one of the most potent instruments to guarantee adequate levels of data quality. The main contribution of this paper is a data quality model to guide repeatable and homogeneous evaluations of the level of data quality of master data repositories. This data quality model follows several international open standards: ISO/IEC 25012, ISO/IEC 25024, and ISO 8000-1000, enabling compliance certification. A case study of applying the data quality model to an organizational master data repository has been carried out to demonstrate the applicability of the data quality model.
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