This IO covers the modeling and meta-modeling of the Job Knowledge (JK) as a theoretical and conceptual part of the DISKOW project. Accordingly, this report provides the required terminology for the project, describes the structure and ontology of the JK in detail, and demonstrates the hierarchical architecture of it. With an aim to provide a standard and extensible JK model which can be integrated in a wide variety of tools and software technologies, we have adopted an existing ontology for job knowledge from and extended it with additional properties following the best practices laid out with respect to linked open data. We showcase the application of the proposed JK model in the field of data science as an example. We thereby envision that the outcome of this IO will facilitate the adaptation of the JK model in a wide variety of sectors and case studies.