Biodiversity data consists of taxonomic specimens and information that inform our interpretations of ecosystems and life on Earth. Museum projects, exhibitions, and research utilize biodiversity data to construct answers and educational programming for staff and visitors. Cleaning and maintaining biodiversity data, however, is a difficult challenge that involves moderation and refinement of data entry, inventory, workflows, and protocols. Creating an ideal framework that involves the utilization of technology and the management practices of data standards will help in developing baseline recommendations for institutions struggling to maintain their biodiversity collections.
Surveys were sent to listservs and museum professionals to acquire interpretation and data surrounding biodiversity data practices. From survey results, three interviews/case studies were performed with one staff member, respectively, from the University of Wyoming Museum of Vertebrates, Bernice Pauahi Bishop Museum, and the Smithsonian National Museum of Natural History. These interviews and surveys, in conjunction with a literature review, were conducted to explore processes and strategies currently being utilized to develop biodiversity data frameworks. Results indicate a strong desire for customizable and malleable databases that integrate institutional-level decision-making and preventative error protocols. In addition, thorough documentation and active engagement with staff and volunteers contribute to long-term benefits to data management standards
