Data Quality Assessment Tools

In the context of data quality assessment, this package provides a number of functions for evaluating data quality across various dimensions, including completeness, plausibility, concordance, conformance, currency, timeliness, and correctness. It has been developed based on two well-known frameworks—Michael G. Kahn (2016) and Nicole G. Weiskopf (2017) —for data quality assessment. Using this package, users can evaluate the quality of their datasets, provided that corresponding metadata are available.

DataQuality