Efficient analysis, management, and dissemination of large, complex, and sometimes poorly understood residual acceleration datasets obtained from low earth orbit space laboratories are necessary in order to maximize the scientific return from microgravity experiments. In view of the large amounts of data that will be collected in future missions, the need for an organized approach to the reduction, analysis, and dissemination is anticipated. Thus, an acceleration data processing plan was developed at the Center for Microgravity and Materials Research. Toward that goal we are developing a data analysis and management system that employs a variety of pattern recognition, data visualization, database management, Fourier analysis, expert systems, and vibration and ergodic windowing techniques. © 1993.