With the appearance of massive databases the ever changing data sets are becoming increasingly important. Storage of massive data sets is always led by changes issued not only to actual data but meta-data that describes the structure. Meta-data is the foremost element to understand the information in databases when designing data storage and its change over long period of time. Thus there is no higher level system to comprehend unstructured data that falls into document-oriented databases. We present the Meta-model that documents itself and document, manages, and creates by using generic or universal meta-modelling constructs. The introduced method allows a flexible document structure that evolves itself over the time, reduces model creation time on the application level. We implement a novel meta-model prototype where the complexity of a model growth is proportional to its expansion scope.