MODELING THE DASHBOARD PROVENANCE

Organizations of all kinds, whether public or private, profit-driven or non-profit, and across various industries and sectors, rely on dashboards for effective data visualization. However, the reliability and efficacy of these dashboards rely on the quality of the visuals and data they present. Studies show that fewer than a quarter of dashboards provide information about their sources, which is just one of the expected pieces of metadata when provenance is seriously considered. Provenance is a record that describes people, organizations, entities, and activities that had a role in the production, influence, or delivery of a piece of data or an object. This paper aims to provide a provenance representation model that enables standardization, modeling, generation, capture, and visualization, specifically designed for dashboards and their visual and data components. The proposed model will provide a comprehensive set of provenance metadata, enabling users to evaluate the quality, consistency, and reliability of the information presented on dashboards. This will provide a clear, precise understanding of the context in which a specific dashboard was developed, ultimately leading to better decision-making.