...Anders Haug Purpose Studies show that data quality (DQ) issues are extremely costly for companies. To address such issues, as a starting point, there is a need to understand what DQ is. In his context, the 1996 paper “Anchoring data quality dimensions ontological foundations” by Wand and Wang has...

... of differences across DQCs are discussed. Table 3 Analysis of DQCs in the identified articles No DQC differences (axial coding) Examples from the open coding process (1) DQC focus “This framework consists of big data quality dimensions …” (Cai and Zhu, 2015) “… dimensions of data...