Representation of modelling and simulation driven research workflows as cognitive processes for ontology-based knowledge and data management in the engineering sciences

This position paper argues that FAIR research data management and semantically interoperable knowledge representation in computational engineering are best advanced by a system of semantic artefacts and tools that are based on a formal model of cognitive processes and the main outcome of cognitive processes: Knowledge claims. Such an approach emphasizes what modelling and simulation have in common with other practices and processes, in scientific research and beyond, and will therefore be particularly amenable to ontology alignment and the integration of data from heterogeneous sources within data infrastructures.