The academy has become increasingly expert at the creation and description of STEM textual articles and data along with building platforms for their discovery, access and inquiry. However, for disciplines where outputs are not typically textual in nature, such as architecture, practice research, etc. there are still many challenges in the way these outputs and related resources are described. We propose that working with existing expert communities, such as repositories that have built taxonomies to address these outputs, we can build the vocabularies of the wider global infrastructure - the persistent identifiers and metadata that underpin scholarly information networks - so that the work types are richer, more descriptive, allowing better discoverability, and bringing a future where all aspects of research are equally valued.