Arthropods are the most ubiquitous and diverse group of animals on the planet, and natural history collections have over a billion insect specimens worldwide. Because of enormous collection sizes, entomology is generally far behind other disciplines in digitization of collections. The Essig Museum of Entomology at UC Berkeley alone holds over 6 million specimens. Last fall, the Essig Museum launched CalBug, a collaborative project among eight California museums whose goal is to digitize and geographically reference over one million arthropod specimens from several target groups and localities. In the first year of the project, Calbug encountered several challenges common to entomology collections, which include: large collection size requiring increased efficiency of data capture, small and delicate specimens, and tiny labels where specimen information is highly abbreviated and difficult to interpret. Calbug is exploring several new approaches to speed up the process of data capture, beginning with photographing specimens and their labels. Photographs can be magnified on the computer screen to more easily read labels, they provide a verbatim archive of captured data, and permit remote data entry. Specimens, however, are pinned into drawers with multiple labels stacked beneath them, making it necessary to arrange labels so they are all visible and information is relatively unobstructed. This process is extremely time-consuming when working with large numbers. We are experimenting with methods to simplify workflow and automate portions the imaging procedure. We are also collaborating with an established citizen-science organization on a crowd sourcing project to accelerate data entry for insect and other biological collections. In this presentation, I will discuss database development, the imaging and data entry workflow, progress made, special challenges for Entomology collections, and plans for the future.