# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "datagrade" in publications use:' type: software license: MIT title: 'datagrade: Data Quality Assessment on the ISO/IEC 25012 Model' version: 0.2.0 abstract: A single-call data quality assessment scoring a data set on the five inherent characteristics of the ISO/IEC 25012 data quality model (accuracy, completeness, consistency, credibility and currentness) through the fifteen quality properties beneath them, ISO/IEC (2008) . Each property is measured as a ratio of counted data items, the form ISO/IEC 25024 measurement functions take, ISO/IEC (2015) . Six properties are computable from a table alone; the rest compare the data against expectations declared through a specification object, and are reported as not applicable rather than approximated when none is supplied. Also reports missing-data patterns, duplicates, redundant columns, outliers, multicollinearity and distributional deviations, and returns a structured object with plots rather than console text alone. The statistics implement the methodology of the author's master's dissertation, Demirhan (2024) "Assessing Data Quality Management Issues in Open-Sourced Data Sets with Statistical Methodology" . authors: - family-names: Demirhan given-names: Omer Haluk email: hlk01dn@gmail.com repository: https://cran.r-universe.dev repository-code: https://github.com/ohalukdemirhan/datagrade commit: 3c6e1a981f0fa5dc08fc1aec139f45ba803fa463 url: https://github.com/ohalukdemirhan/datagrade date-released: '2026-10-29' contact: - family-names: Demirhan given-names: Omer Haluk email: hlk01dn@gmail.com