  Lifecycle models for research data are often abstract and simple. This comes
at the danger of oversimplifying the complex concepts of research data
management. The analysis of 90 different lifecycle models lead to two
approaches to assess the quality of these models. While terminological issues
make direct comparisons of models hard, an empirical evaluation seems possible.
