Biodiversity data are the focus of large-scale efforts to convert analog data (i.e., specimen labels) into useful, digital data that can be used in a wide diversity of analyses to provide very important insights. This course will provide an overview of and introduction to current approaches to biodiversity data capture, with an eye to maximizing efficiency and simultaneously minimizing error rates. The focus is on capture of data for archival purposes (e.g., the plants of Angola, the vertebrates of Ethiopia, etc.), rather than for individual research projects where the data will not be used by others afterward. The course will include conceptual overviews, detailed instructions for implementation, and as much hands-on exploration as possible.
Around 30 people. All researchers, students, technicians, planners, managers, and other interested persons from across Africa are welcome to apply.
Application materials and any questions regarding the application process may be addressed to the course organizers (Town Peterson is the project director) at BiodivTraining@gmail.com.