The term Data Cleaning is used to describe outlier checking, date parsing, missing value imputation to structuring datasets (organizing data values within a dataset) to facilitate analysis.  The latter is commonly referred to as Data Tidying but what about the former? I have seen outlier checking, date parsing and missing value imputation referred to as soft processing, however I wonder if this is a commonly used term.  If I describe a component of data cleaning as soft processing is it reasonable to assume that knowledgeable people will know that I am referring to outlier checking, date parsing and missing value imputation?In the field of Data Science, is there a commonly accepted phrase or term that umbrellas outlier checking, date parsing and missing value imputation. 
Describing the data cleaning process
data cleaning