While the importance of topics related to keywords such as "big data" or "data science" has risen sharply in recent years in many companies and among the general public, this importance is countered by a proven shortage of skilled workers. At the moment, the demand is largely fed by the pool of experts with an IT background in the fields of electrical engineering and computer science. However, the new occupational fields in the field of "data science" go beyond the formal presentation, storage, processing and transmission of information.
In the life sciences sector in particular, a sound background knowledge of the data context and methodological meta-knowledge are often of central importance, as the interpretation of the data for the acquisition of information and knowledge is particularly important. Thus, the ability of technical programming is pushed into the background and a basic understanding of the technical possibilities as well as programming knowledge with script languages becomes more important. This speaks for the possibility of a new access to "data science" from the professional context of life sciences experts.