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DQA: 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) <doi:10.13063/2327-9214.1244> and Nicole G. Weiskopf (2017) <doi:10.5334/egems.218>—for data quality assessment. Using this package, users can evaluate the quality of their datasets, provided that corresponding metadata are available.
Getting started
Browse package contents
Package details |
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| Author | Hamed Tabesh [aut], Elham Hosseinzadeh [aut, cre], Marziyeh Afkanpour [aut] |
| Maintainer | Elham Hosseinzadeh <elham.hh2012@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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