Final answer:
Persistent datamodels refer to data structures that maintain their state even after the application that created them has ended, lasting as long as the storage medium is intact. They exist in persistent storage systems such as databases and files, and are unrelated to philosophical theories of perception.
Step-by-step explanation:
The term "Persistent datamodels" in computational contexts refers to data structures that maintain their state and are not lost after the application that created them has ended. This persistence can last for a very long time, essentially for as long as the storage medium remains intact and the data is not deliberately erased or corrupted. In contrast to volatile memory which loses its content when the power is turned off, persistent storage retains its content. Databases, files, and certain data storage systems provide mechanisms to achieve persistence.
Philosophical questions such as whether things like the floor outside the room or your car in the parking lot continue to exist when not being observed deal with the theory of perception and reality. These don't directly apply to persistent datamodels, which are concrete representations of data that continue to exist in persistent storage systems regardless of whether they are being accessed or not. The content loaded from these models will remain until it is altered or deleted by an authorized user or a process.