This presentation will share an open-source JavaScript-based Linked Data project that explores techniques to improve terminology used for discovering resources from systemically marginalized communities (metadataBias). As a research project, it is also investigating a practical application of Linked Data to enhance usability of library systems. Controlled vocabularies used in cultural heritage organizations (galleries, libraries, archives, and museums) are a helpful way to standardize terminology but can also result in misrepresentation or exclusion of systemically marginalized communities. Library of Congress Subject Headings (LCSH) is one example of a widely used yet problematic controlled vocabulary for subject headings. Linked Data vocabularies can connect terms between larger, less representative vocabularies (like LCSH) and terms from a community’s vocabulary to aid and instruct end users conducting research online. This project uses The Homosaurus, an LGBTQ+ Linked Data controlled vocabulary, to provide an augmented and updated search experience to mitigate bias within a system that only uses LCSH for subject headings. The presentation will provide a demonstration, share progress to date on research findings, usability feedback, and implementation, instructions for how to use or contribute to this research, as well as plans for further development.