Grupo Alarcos · Conference paper · 2023
DQBR25K: Data Quality Business Rules Identification Based on ISO/IEC 25012
Fernando Gualo Cejudo, Ismael Caballero Muñoz-Reja, Moisés Rodríguez Monje
Organizations continuously generate and manage extensive amounts of data for specific purposes, such as making informed decisions or monitoring certain parameters. It is not only essential to obtain the data; how it is obtained, stored, and maintained is equally, if not more, valuable. Data quality is a crucial factor for any organization because if the data does not meet the required level of quality, its use will not yield the best results. To maintain adequate levels of quality, organizations need to identify the data requirements or business rules that their data must adhere to for the intended purpose. The most common problem is organizations’ lack of knowledge in identifying business rules adequately. In this regard, a model based on ISO/IEC 25012 enables the assessment of data quality based on an organization’s requirements. As a solution, this work presents a methodology to facilitate the identification and classification of business rules for an organization, as well as their association with each data quality characteristic defined by the ISO/IEC 25012 standard.