Biodiversity Collections Enable Foundational and Data Skills
The task of training an effective cadre of biodiversity scientists has grown more challenging in recent years, as foundational skills and knowledge in organismal biology have increasingly required complementary data skills and knowledge. In this episode, workforce training is discussed by Anna Monfils, Erica Krimmel, and Travis Marsico, who discuss a module that addresses these needs.
The task of training an effective cadre of biodiversity scientists has grown more challenging in recent years, as foundational skills and knowledge in organismal biology have increasingly required complementary data skills and knowledge. Writing in BioScience, Dr. Anna K. Monfils, of Central Michigan University, and colleagues identify one way to address this training conundrum: biodiversity collections. Biodiversity collections operate at the nexus of foundational biological practice and contemporary data science, a product of their role as curator of not only specimens themselves but also the specimens' associated data and network of data resources (referred to as the "extended specimen").
The authors describe a module that leverages this feature of biodiversity collections to produce a holistic student learning experience. The module, “Connecting students to citizen science and curated collections," was designed by the authors with six learning goals in mind, ranging from plant specimen collection in the field to the deposition of data in national or international databases. Students also learned about the value of large data sets and the role of community members' contributions to them.
The authors reported strong learning results, stating that, according to a postmodule assessment, "the students felt well prepared, very well prepared, or totally prepared to use foundational and emerging plant collecting skills including maintaining a field notebook (89%), collecting specimens in the field (94%), and depositing specimens (89%) and digital data (92%) into national and international data repositories."
Joining us on this episode are authors Anna Monfils, Professor at Central Michigan University and Director of the Central Michigan University Herbarium, Erica Krimmel, Information Scientist with the iDigBio Project at Florida State University, and Travis Marsico, Professor of Botany at Arkansas State University and Curator of the Arkansas State University Herbarium. They discussed the learning model they designed from implementation to next steps.