As cities evolve into smart, data-driven environments, the quality of open data has become the invisible backbone of next-generation mobility systems – yet it remains critically undermined by the decentralised, ungoverned nature of modern open data ecosystems. In the absence of centralised governance, maintaining data quality across multiple publishers, federated portals, and diverse data types has become one of the most pressing and unresolved challenges in open data management. This research pioneers a first-of-its-kind socio-technical process model, powered by agentic AI, that autonomously detects, adapts to, and improves data quality across complex, multi-actor ecosystems without relying on centralised governance infrastructure. This research redefines how open data quality is understood, governed, and sustained at ecosystem scale.

A peer-reviewed paper was presented at the European Conference on Information Systems (ECIS) and the project was awarded the competitive Open Data Engagement Fund by the Irish Government under the DEPENDR Ireland initiative.