Exploring the Quality of Dynamic Open Government Data for Developing Data Intelligence Applications: The Case of Attica Traffic Data

Abstract

Dynamic data (including environmental, traffic, and sensor generated data) were, recently, recognised as an important part of the Open Government Data (OGD) movement. These data are of vital importance in the development of data intelligence applications. For example, various business applications exploit traffic data to predict, e.g., traffic demand and an estimated time of arrival. However, this type of data is inherently vulnerable to data quality errors produced by, e.g., failures of sensors and network faults. The objective of this paper is to explore the quality of Dynamic Open Government Data for the development of data intelligence applications. Towards this end, we study a single case about the traffic data provided by the official Greek OGD portal. The portal involves the use of an Application Programming Interface (API), which is essential for the effective dissemination of dynamic data. Our research approach involves the exploration and the evaluation of the provided data with regards to missing values and anomalies. We anticipate that this paper will contribute to the identification of organisational and technical challenges that hamper the effective dissemination of dynamic OGD.