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Past research hasshown thatdata reusers are concerned withthe issue of data quality and the identified attributes of quality. While data reusers find evidence of the attributes of data quality during their assessment of data for reuse, there may be other dimensions of data qualitythat reusers are concerned aboutbut that are not always visible to them. This study explores these invisible dimensions of data quality that have been identified by data reusers. The findings of this study indicate that data reusers are concerned withtwo kinds of invisible characteristics for assessing the data:the efforts put on data,and the ethics behind the data. While these quality dimensions cannot be easily measured at face-level, data reusers find proxy evidence that indicates the presence ofthese invisibilities. This finding signifies the role of data management that can maketheseinvisible data qualitiesvisibl

Visible Evidence of Invisible Quality Dimensions and the Role of Data Management