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 frameworksMichael G. Kahn (2016) doi:10.13063/2327-9214.1244 and Nicole G. Weiskopf (2017) doi:10.5334/egems.218for data quality assessment. Using this package, users can evaluate the quality of their datasets, provided that corresponding metadata are available.