Narrative: The "Semantic view - Data Mapping Catalogue" viewpoint extends semantic view and provides a comprehensive framework for organizing and managing data mappings within the digital ecosystem. This view associates the Data Mapping Catalogue with the Business Information Base and Digital Public Services from the application layer. Within this view, the Data Mapping Catalogue serves as a centralized repository for storing and categorizing data mappings. It acts as a catalogue of standardized mappings that facilitate the translation and transformation of data representations between different formats, structures, and systems. The catalogue ensures that data mappings are easily discoverable, accessible, and reusable across different digital services and applications. The Business Information Base, as part of the application layer, relies on the Data Mapping Catalogue to ensure accurate and meaningful data exchange and integration. It utilizes the defined data mappings to store and manage data in a consistent and compatible manner, facilitating data sharing, decision-making processes, and promoting data interoperability. Digital Public Services leverage the Data Mapping Catalogue to ensure seamless integration, data consistency, and interoperability among different services. These services align their data models, operations, and interactions with the cataloged data mappings, enabling efficient data exchange and integration within the digital ecosystem. By associating the Data Mapping Catalogue with the Business Information Base and Digital Public Services, the "Semantic view - Data Mapping Catalogue" promotes standardized data mappings and facilitates their discovery and reuse. This view ensures consistent data representation, improves data exchange, and enhances interoperability within the context of digital public services. The catalogued data mappings allow for flexibility and adaptability across different systems and applications. They enable efficient translation and transformation of data representations, reducing data inconsistencies, and ensuring seamless data communication and integration.