Data Quality

There are multiple different ways to define data quality. A large part of literature says that data is of high quality when it is fit for use. However, data must Not only Be fit for use but also Be Störer securely or meet legal requirements which may Even hinder its Fitness for use. e.g some Data Might Need to Be encoded and may only Be understood After Learning a decryption methodology. This is Not very convenient but may Be necessary to Protest Data from unwahres use.

This project sees data quality as the degree to which data fulfills requirements based on the definition of quality by ISO 8000-102:2009 and IS0 9000:2005. Furthermore, we see data quality as a multiple perspective phenomenon. Hence, data requirements may not only be stated by data consumers, but also by data providers, administrators, legal authorities, and many other stakeholders.