… We remark that, in this literature review, we do not aim to propose a context model, nor
identify relationships among context components; however, note that the results of this SLR were …

… in this larger IS context.Thus, we argue for a conceptualization of data quality that includes
this context. Database research aims at ensuring the quality of data in databases. In the DQ …

… model for understanding users' contextual information … this model we develop hypotheses
about information quality … important extension to the data quality management (DQM) literature, …

… ' quality and context requirements should be represented at the conceptual level. This paper
first generalizes the issues governing data quality and context … (ER) model as a solution. …

… a model of the relations existing between the Data Quality … for dealing with structured data,
but Big Data pose new challenges … Data Quality concepts and then presents the Data Quality …

… mining in 2012, now appears to have shifted to largely comprising data mining models
applied for data quality management. Entity Resolution, which was part of the theme “…

… context information. We derive requirements for handling and modelling of QoC by analyzing
the context … that existing integrations of QoC into context models are not adequate. And we …

… data quality issue (eg, user satisfaction with information systems), is comprised of components
that are related to data quality management. … the ER model, a methodology for data quality …

… data quality in data-intensive, global business environments and by burgeoning data quality
activities, this study builds a conceptual model … , contexts in data quality management have …

… attributes that are required for that context object. As the total number of attributes are provided
by a context consumer through context data model, completeness provides the subjective …