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This thesis presents new techniques for data management of run-time dataobjects in component-based embedded real-time systems. These techniquesenable data to be modeled, analyzed and structured to achieve proper datamanagement during development, maintenance  and execution.The evolution of real-time embedded systems has resulted in an increasedsystem complexity beyond what was thought possible just a few years ago.Over the years, new techniques and tools have been developed to managesoftware and communication complexity. However, as this thesis show, currenttechniques and tools for data management are not sufficient. Today,development of real-time embedded systems focuses on the function aspects ofthe system, in most cases disregarding data management.The lack of proper design-time data management often results in ineffectivedocumentation routines and poor overall system knowledge. Contemporarytechniques to manage run-time data do not satisfy demands on flexibility,maintainability and extensibility. Based on an industrial case-study thatidentifies a number of problems within current data management techniques,both during design-time and  run-time, it is clear that data managementneeds to be incorporated as an integral part of the development of theentire system architecture.As a remedy to the identified problems, we propose a design-time data entityapproach, where the importance of data in the system is elevated to beincluded in the entire design phase with proper documentation, properties,dependencies and analysis methods to increase the overall system knowledge.Furthermore, to efficiently manage data during run-time, we introducedatabase proxies to enable the fusion between two existing techniques;Component Based Software Engineering (CBSE) and Real-Time DatabaseManagement Systems (RTDBMS). A database proxy allows components to bedecoupled from the underlying data management strategy without violating thecomponent encapsulation and communication interface.