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