Many libraries currently support two institutional repository systems—one for publications, and one for research data—even when there are nearly a thousand data repositories in the United States. To do so, we either increase spending by purchasing data repository solutions from vendors, or replicate work by building, customizing, and managing individual instances of data repository software. Especially for small and midsized institutions, this feels overwhelming to our limited resources. This poster suggests a potential solution: a centralized metadata store for datasets produced by an institution's researchers. With funding from Institute of Museum and Library Services (IMLS), we have created a prototype for an open source Dataset Search that promotes discovery of existing datasets that are housed in third-party repositories. Google Dataset Search has recently come onto the scene and piqued our imaginations around what is possible for research data discovery. Our Dataset Search complements Google Dataset Search, SHARE, DataMed, and other research data indexes, adding to the conversation a three-pronged focus. First, our tool promotes discovery for institution-specific research datasets, thus allowing institutions to showcase research data as a scholarly product and a driver of institutional reputation. Second, Dataset Search provides newly-generated descriptive metadata for individual datasets, gleaned through topic mining of scholarly profile sources like ORCID and Google Scholar Profiles. Third, Dataset Search metadata is optimized for discovery by commercial search engines. Dataset Search is one step toward community-driven, community-owned index for academic institutional research data. Such an index would in turn not only increase discovery, reuse, and citation of open research data, but also act as an easy-to-implement, open source, library-built system. This poster reviews the key points of the Dataset Search, discusses challenges and opportunities, and promotes the idea of open source data discovery tools.