Damage identification or inspection tests are vital tools for extracting structural information (SI) data, which may facilitate life-cycle assessment and repair planning processes within the operation and maintenance phase. SI-data of in-service infrastructure are commonly collected using non-destructive or low-destructive damage detection methods. In practice, diagnosticians record inspection data on the field in heterogenous and proprietary data formats, depending on the type of the test and equipment in use. Hence, customarily raw inspection data is not submitted to the operation and maintenance company, but only a PDF report containing analysis results. In recent years, the Architecture, Engineering, and Construction (AEC) industry has been leveraging OpenBIM data models, i.e. Industry Foundation Classes (IFC), to streamline project workflows and to centralize data management. For an error-free integration of inspection data into the planning process and for seamless data exchanges between all parties involved, an OpenBIM approach may be employed. This paper aims at evaluating existing capabilities of the IFC data model for inclusion of geometric and semantic inspection data, as well as for visualization and storing of inspection results. To determine the potential of the IFC schema for integrating inspection data, a material testing process on a road bridge is showcased. The as-built model of the bridge is used as the base for a repair planning process, in which damage identification requirements are specified. The resulting data is embedded in the IFC model or is linked to it. Advantages and disadvantages of embedding or linking data for various data formats are evaluated and further use cases from the practice are discussed. It is shown that extending the openBIM approach for inspection data may decrease communication issues and data loss in an error-prone environment, likewise may extend workflow efficiency without the need for investing on new tools or adapting to new approaches.