1. Elmasri, R., & Navathe, S. B. (2017). Fundamentals of Database Systems (7th ed.). Pearson. In Chapter 2, Section 2.2, "The Three-Schema Architecture and Data Independence," the text defines logical data independence as "the capacity to change the conceptual schema without having to change the external schemas and their associated application programs" and physical data independence as "the capacity to change the internal schema without having to change the conceptual schema." This directly supports the idea of changing the data's organization.
2. Silberschatz, A., Korth, H. F., & Sudarshan, S. (2020). Database System Concepts (7th ed.). McGraw-Hill. In Chapter 1, Section 1.9, "Data Independence," it is stated: "The ability to modify a schema definition in one level without affecting a schema definition in the next higher level is called data independence." This confirms that the concept is about changing the schema (data organization).
3. Ramakrishnan, R., & Gehrke, J. (2003). Database Management Systems (3rd ed.). McGraw-Hill. In Chapter 1, Section 1.5.2, "Data Independence," the authors explain that data independence is a key advantage of a DBMS, allowing changes to the "conceptual schema... or the physical schema" without impacting applications. This aligns with changing the data's organization.