The development of data bases for computer image generation systems is a time consuming, labor intensive process. While the last ten years have seen tremendous advances in the capabilities and capacities of computer image generation, comparable advances have not occurred in the area of data base management. As visual systems can output more scene detail, they require data bases which contain more information and so, take longer to build. If some effort is not made to develop methods to build data bases more efficiently, the limiting factor for the amount of detail contained in an environment will be the data base development time. This paper will discuss two projects currently underway at the Air Force Human Resource Laboratory (AFHRL), Williams Air Force Base, AZ, which enable data bases to be developed much quicker by allowing the modelers to utilize work which has been done in the past by AFHRL or other organizations. The first project is the development of software to convert data bases formatted for one visual system to the format required for another visual system. The intermediate steps of this process will utilize a "generic data base," which is simply a data base which contains the minimum information necessary to recreate the environment in any format. The preliminary test of this effort will be to convert data bases between the Advanced Simulator for Pilot Training (ASPT) and the F-111B Visual System Attachment. If successful, the effort will be extended to transform existing data bases from Defense Mapping Agency (DMA) and other visual simulation systems used by the Air Force, Army, and Navy. When completed, this will alleviate the necessity of completely regenerating the same data base by hand when it is to be used on multiple visual systems. The second project is the development of a library of models. This library is an on going effort to create a collection of pre-made models that are accurate, usable, and well documented. An effort is being made to predict which models will be required in the future and to create them before they are needed. The library will alleviate data base modelers having to make every model from scratch every time that model is used in a different data base. These projects and others also under development at AFHRL will allow data bases in the future to be generated much more efficiently and quickly than is currently possible for most visual systems.