A data model encodes an abstraction of the real world. It defines data elements and their structures, and also the relationships between them.
Your data, as all other data, is a partial description or view of the real phenomenon. When you combine your data with other data you might not get exactly the result that you are expecting.
To meet the challenges getting your datasets interoperable with other key datasets it is recommended to take the time to design your data models.
A key component to ensure data interoperability is the use of standards. Depending on if your
data are vector-based versus raster-based, different standards are to be used.
Vector-based data products:
Raster-based data products:
Data modeling also involves the development of data product specifications. More information on this can be found in this section of the guidelines
Example of Sientific Data Model