A university’s institutional repository (IR) contains the in- tellectual output of its faculty, staff and students. Its content is exten- sive and heterogenous, which complicates data aggregation and discovery tasks. To address these challenges, we propose the use of a conceptual ontology design pattern to model information for the IR domain which is general enough to be reused across different IR datasets.