Data cleaning is a quality assurance practice that identifies, corrects, or removes errors, inconsistencies, and irrelevant data from datasets to improve data quality for analysis. It encompasses operations including handling missing values (imputation, deletion), detecting and correcting outliers, resolving duplicates, standardizing formats, and validating constraints (range checks, type checks, referential integrity). Parameters: the dataset, the quality rules and constraints, and the cleaning procedures applied. Persistence mechanism: procedural methodology encoded in data management protocols and implemented through systematic workflows (validation rules, transformation scripts, quality metrics) that maintain data integrity across its lifecycle.
Accepted ontology entry
data cleaning
Data cleaning is a quality assurance practice that identifies, corrects, or removes errors, inconsistencies, and irrelevant data from datasets to improve data quality for analysis. It encompasses operations including handling missing value…
Definition
Why it is in scope
The process of detecting, correcting, or removing corrupt, inaccurate, incomplete, or irrelevant records from a dataset to improve data quality. Human-made through data science and statistical practice, persists through procedural documentation, software tools, and organizational workflow.
Names and aliases
- data cleaningen · CANONICAL
Relations from this entry
- cmrw30hzx003tekzzxacxtt4sINSTANCE_OF →
Data cleaning is a specific kind of quality control practice applied to datasets. As a quality assurance technique for data, it IS a subcategory of quality control.
- cmrxj3acr03cmsoacx73fal1oDERIVED_FROM →
Data cleaning as a formal practice emerged from statistical methodology. Early statisticians like Pearson and Fisher developed outlier detection, missing data handling, and transformation methods that constitute data cleaning. Remove statistics and data cleaning loses its theoretical foundation for handling distributions, errors, and variation.
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Record identity
- Created
- Aug 9, 2026, 6:00 PM UTC
- Content hash
- d84f9d427ffe87cdd0ab2e3ced859132b73e27bbf8dc88beb96b2c08738f12ea