Big Policy Canvas Research Roadmap

[...] * After the assessment of data quality, it is time for data cleaning. This is the process of correcting (or removing) corrupt or inaccurate records from a record set, table, or database. Used mainly in databases, the term refers to identifying incomplete, incorrect, inaccurate, irrelevant, etc. parts of the data and then replacing, modifying, or deleting this dirty data or coarse data.