Dirty data


Dirty data, also known as rogue data, are inaccurate, incomplete or inconsistent data, especially in a computer system or database.
Dirty data can contain such mistakes as spelling or punctuation errors, incorrect data associated with a field, incomplete or outdated data, or even data that has been duplicated in the database. They can be cleaned through a process known as data cleansing.

Dirty Data (Social)

Following the definition of Gary T. Marx, Professor Emeritus of MIT, there are four types of data: