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The Internet of Things (IoT) data and social media data are two of thefastest-growing data segments. Having high-quality data is crucial for makinginformed business decisions. The strategic process of leveraging insights fromdata is known as data-driven decision-making. To achieve this, it is necessaryto collect, store, analyze, and protect data in the best ways possible. Dataarchitecture is a complex task that involves describing the flow of data fromits source to its destination and creating a blueprint for managing the data tomeet business needs for information. In this paper, we utilize the DataArchitecture Tool (DAT) to model data for Digital Space Management Service,which was developed as part of the VASARI project. This work focuses ondescribing the movement of data, data formats, data location, data processing(batch or real-time), data storage technologies, and main operations on thedata.

Data Architecture for Digital Object Space Management Service (DOSM) using DAT