5. GSIM is a conceptual model. Being a conceptual model, the focus of GSIM is on high-level concepts and the relationships between them, and not on implementation details.
6. By design, GSIM does not refer to any specific IT setting or tool. Statistical organizations use a wide range of in-house and proprietary hardware and software platforms; this environment also changes over time. GSIM is designed to be platform-independent in order to be relevant to all stakeholders and robust over time.
7. Across the world statistical organizations undertake similar activities albeit with variation in the processes each uses. Each of these activities use and produce similar information (for example all organizations use classifications, create data sets and publish products). Although the information used by statistical organizations is at its core the same, all organizations tend to describe this information slightly differently (and often in different ways within each organization). There has been no common way to describe the information we use.
8. GSIM defines and describes the pieces of information (called information objects) that are important to statistical organizations. It also gives users the relationships between the information objects. By describing statistical information in a consistent way, statistical organizations become able to communicate unequivocally and to collaborate more closely (both at a national and international level).
9. A conceptual model such as GSIM cannot be implemented directly. It requires a further level of detail. The sections on Implementing GSIM at a business level and Implementing GSIM at a technical level provide more detail on how this might be done.