The digitalization of materials is a challenge which occupies many different technical sub-areas: e.g. data acquisition, data evaluation, test planning, materials modelling, materials simulation and materials release processes. Moreover, topics like quality management and process technology for the production are connected very closely.

All of those fields use their own specialized IT tools like LIMS or FE solver. However, the relevant information – attributes and properties of materials – is connected to the material itself, regardless of the definition of a single material. This varying view on the material’s description is leading to an increased risk of data inconsistency, due to the fact that data sources, connections and qualitative data (e.g. observations and perceptions) are not archived or described sufficiently.

Within the last decades, IMA Dresden as a multi physical test center gained so much experience in data management, that it established WIAM as a spin-off, which is specialized on software development regarding test and materials data management. WIAM^® MaterialsHub is a software tool, which was developed to organize any aspect of materials data during its R&D processes. It is supposed to be the single point of truth regarding materials data, starting from test result, including material release information (technical, commercial, legal) and leading to the description of material models and material cards to be used ins calculations and simulations. Furthermore, it can be extended by the tool WIAM^® LabDataHub, which manages lab and testing data within the same data framework. Customers share data across an integrated data model and by specialized, pre-defined software interfaces between product development, labs, materials, and simulation departments.

In this article, we present the general ontology, which is used inside WIAM^® LabDataHub and WIAM^® MaterialsHub. Additionally, it is shown, how this data schema can be extended, due to the requirements of the individual users. Moreover, we demonstrate how instances of the ontology can be filled automatically, designed to fulfill the requirements of interfaces to other systems, like ERP, PLM/PDM, FE solver or measurement software. Special aspects of the general topic has been presented earlier.