Data obtained from the environment is transformed into information and having information lead to knowledge; decision-making and planning are consequently based on this information. Scientific studies, on the other hand, indicate that 80% of the data required by organizations in their various management, planning, implementation and even routine operations is inherently spatial or have spatial characteristics [1]. Therefore, in the present age, the importance of spatial data is not unobtrusive for anyone, because spatial data and related technologies generate spatial knowledge; as a result, it improves decision-making and coordinated planning. Spatial knowledge has a direct and significant impact on the economic, social and environmental development of countries; in other words, spatial data are considered as one of the sustainable development infrastructures of countries. Achieving sustainable development is the main goal of many societies and countries around the world. Although there are many perspectives and definitions for sustainable development, they all refer to almost the same point: "balanced and comprehensive development in the economic, social and environmental sectors" [2]. Currently, spatial information is generated in many public or private organizations and companies. Such environmental information is produced in various departments like the Environmental Organization, the Natural Resources Organization, and etc. By sharing spatial data that generated by different organizations, there will be significant decrease in costs to regenerate data because most of the spatial data generated by an organization can