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PublicationWhat makes big data different from a data quality assessment perspective? Practical challenges for data and information quality research( 2015)High-quality data is a prerequisite for most types of analysis. However, since data quality does not come for free, it has to be assessed and managed continuously. The increasing quantity, diversity, and velocity that characterize big data today make these tasks even more challenging. We identified challenges that are specific for big data quality assessments and provide some pointers to promising solution ideas. Moreover, we motivate why big-data-specific challenges may also be worth to be considered when the quality of open data is in focus.