The availability of high-quality datasets is essential for the i4Driving project. These datasets are the basis for the human driver model identification process. To enable identifying suitable models over a wide range of traffic situations, driving data from various driving domains and situations must be available in a homogenous format. The CommonRoad framework, developed at the Cyber-Physical Systems group at TUM, offers an appropriate solution. Currently, seven trajectory-based datasets are available in the unified and harmonised CommonRoad data format. This report describes the methodology, gives an overview of the available datasets, and discusses the extensibility to human factors datasets.