Data Cleaning publication categorizer

The paper provides an overview of data quality, in terms of its multidimensional nature. A set of data quality dimensions is defined, including accuracy, completeness, time-related dimensions and consistency. Several practical examples on how such dimensions can be measured and used are also described. The definitions for data quality dimensions are placed in the context of other research proposals for sets of data quality dimensions, showing similarities and differences. Indeed, while the described core set of dimensions is shared by most proposals, there is not yet a common standard defining which are the data quality component dimensions and what is exactly their meaning.