Natural history collections (NHCs) are well-understood as repositories of invaluable data on living organisms, and massive efforts over the last twenty years have been directed at their digitization. However, one important type of specimen data has been overlooked and inconsistently applied: the names of people who collected and/or identified the specimen. Unlike Linnaean binomials, human names tend to be poor identifiers (not unique or stable), and many times only a single person is credited with collecting and/or identifying a species even when several people assisted. Names are frequently disambiguated over the course of someone’s lifetime or across institutions as curators work to independently digitize specimen data in their collections. These issues perpetuate bias in who is credited as a collector or identifier, resulting in hidden figures that contribute to science but are never given proper attribution for their work. Fortunately, new tools are available to facilitate attribution and improve the quality and consistency of collector and identifier name use, including ORCID, Bionomia, and WikiData. These tools are free and open, meaning anyone can help add and improve data about the people involved in documenting biodiversity. In the 2022 BIOME Institute, a working group formed (called The Hidden Figures Network) to develop educational modules that help university students discover hidden figures in NHCs. Users are trained in data-sleuthing techniques to ensure proper attribution of specimens collected and identified by these hidden figures. Students will help to rewrite the history of science as they work to give credit to people just like themselves. The workflow and associated activities will provide meaningful opportunities to bring awareness and highlight underrepresented scientists through personal storytelling. Perhaps even more importantly, students who participate in these modules can further continue the cycle of increased attribution as they share their skills with others.