ITC/USA 2006 Conference Proceedings / The Forty-Second Annual International Telemetering Conference and Technical Exhibition / October 23-26, 2006 / Town and Country Resort & Convention Center, San Diego, California / This paper describes an adaptive data management architecture capable of supporting order-of-magnitude data volume increases without a priori knowledge of data structures. The architecture allows users to generate and maintain data in optimal legacy formats while managing and extracting information with common analysis tools. This paper shows how an object-oriented data management system can manage both data and the knowledge imparted to the data by users.