Abstract

In data ecosystems, the intense exchange of data between organizations offers opportunities for collaboration and growth. However, poor data quality circulating within these ecosystems obstructs the advancement of data-driven initiatives and undermines confidence in the data. To address this issue, data quality orchestration seeks to organize and coordinate data-driven activities within the ecosystem to maintain and improve data quality. This exploratory study investigates the effects of data quality orchestration on overall data quality in data ecosystems. Data from the Brazilian Judiciary, collected over two years of data quality orchestration (2021-2023), is analyzed using repeated measures ANOVA. The findings indicate that data quality orchestration had a positive effect on overall data quality, regardless of the size of the organizations involved. This study provides valuable empirical and quantitative evidence concerning data quality orchestration within data ecosystems.

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