The current rise of interdisciplinarity in product creation leads to data sets that are characterised by different point of views which often come with inconsistencies. Furthermore, there is a trend towards using such data sets for innovative data-based product development processes, which require a holistic data representation. However, inconsistencies exacerbate these efforts. This paper presents an approach for a holistic data base for product creation that enables different point of views while also allowing for traceability and uniqueness. This approach uses model-based systems engineering techniques and consists of a model with two levels of detail, which allow for different point of views to coexist on a specific level while being connected on a generic level.