What does the logical data model do in the database design process?

The logical data model plays a crucial role in the database design process by providing a structured framework that organizes data in a way that can be easily translated into physical storage within a Database Management System (DBMS). This model focuses on the organization of data elements and their relationships without getting into the specifics of how these elements will be physically stored or implemented.

By establishing entities, attributes, and the relationships between them, the logical data model acts as a blueprint for the subsequent stages of database design. This model ensures that data can be efficiently stored and retrieved, forming the foundation for creating a physical schema that will dictate how the data is implemented in the DBMS.

In contrast, determining user interface elements, defining data security measures, and outlining backup procedures focus on different aspects of the database management process but do not directly relate to how data is structured at the logical level. These elements are essential for the overall functioning and integrity of a database but follow the logical modeling phase in the database design workflow.