Data Cleansing
Datenbereinigung (Data Cleansing)
Data cleansing refers to the process of identifying and correcting or removing erroneous, outdated, duplicate, or inconsistent data within a dataset, in order to improve the overall quality of the data.
Source: DAMA International — Data Management Body of Knowledge (DMBOK)