The evolution and development of information technology have facilitated greater sharing of data and knowledge management for the collection of electronic information by data owners such as governments, corporations, and individuals. Therefore, they have created huge opportunities for knowledge management and information retrieval. Recent develoments have helped improve decision making especially in the fields of medical information, research, and public health organization, among others. Recently, the control and sharing of data or knowledge management has received notable attention in research communities. Many approaches have been proposed for different data publishing needs in different fields. The sharing of data needs control and management to ensure system integration. Integration is required especially in the management of patient data to secure sensitive information such as patient identification. Several studies have focused on the management of data in medical applications to ensure system integration. However, the management and sharing of data in different fields may result in misuse of information. Therefore, there is a need to build models or design certain algorithms to manage shared data efficiently and to avoid misuse. The goal is to ensure authenticity of the data system. In the present study, we systematically summarize and evaluate different approaches to control the sharing of data and knowledge management in order to ensure system integration. Moreover, we study the challenges in controlling the sharing of data and clarify the differences and conditions that distinguish the control of sharing of data from other related problems. Finally, we correspondingly propose future research directions in the conclusion.
Key words: Knowledge management, electronic information, information retrieval, decision making integration, authenticity.