A Data Modeling Process for Achieving Interoperability

The ability of two or more systems to communicate with each other is known as interoperability. Semantic and syntactic are the two categories used in each Big Data sector. Some of the challenges of interoperability are compatibility problems, security issues, and the requirement for global standards. Specifically, there were issues with data management and exchange for 23 out of 100 health entities that took part in a survey, due to staff hesitation about technological upgrades. Interoperability considering the use of standards, such as the Fast Healthcare Interoperability Resources (FHIR) standard in healthcare, is the most effective and common technique. Independently of databases, any standard specifies how data can be transferred among them in a coherent and homogeneous way. In this paper, through an analysis of the literature, it is suggested a generic method that can be domain agnostic, for designing a data exchange and mapping model that can be understood by anyone without the need for technical knowledge, enabling interoperability through data modeling.