A web-based decision support site for public management of deer was created from an intensive daily internet search and from targeted searches. Relying on news and other sources, information has been organized based on key decision issues. This information has also been used to build a decision support simulation using detailed demographic and other data related to deer population management. Information acquisition issues and an application of the simulation are illustrated using a case study in San Jose, California, where a deer sterilization project has reduced the population below a desired target and appears destined to result in eradication of the local deer. Trail cameras were used to gather site specific information. Previous simulation approaches lacked demographic detail and were based on very narrow geographic samples, resulting in unreliable predictions for San Jose. The simulation model presented here is being tested against a very large geographic sample of cases. An anomalous case reported at Cornell, New York, is contradicted by other results and may be a result of data issues.