A new model for efficient, need-driven progress in generating primary biodiversity information resources.

Data capture has been cost-effective because it is much less expensive than de novo field collections, allows for development of information resources even for regions in which political situations make contemporary field sampling impossible, and provides a historical baseline against which to compare newer data as they become available. This new paradigm in specimen digitization has considerable promise to accelerate and improve the process of generating high-quality biodiversity information, and can be replicated and applied in many biodiversity-rich, information-poor regions to remedy the present massive gaps in information availability.