  Privacy and data protection have become more and more important in recent
years since an increasing number of enterprises and startups are harvesting
personal data as a part of their business model. One central requirement of the
GDPR is the implementation of a data protection impact assessment for privacy
critical systems. However, the law does not dictate or recommend the use of any
particular framework. In this paper we compare different data protection impact
assessment frameworks. We have developed a comparison and evaluation
methodology and applied this to three popular impact assessment frameworks. The
result of this comparison shows the weaknesses and strengths, but also clearly
indicates that none of the tested frameworks fulfill all desired properties.
Thus, the development of a new or improved data protection impact assessment
framework is an important open issue for future work, especially for sector
specific applications.

Cryptography and Security;Computers and Society