Infrastructure systems deteriorate while in service due to routine use and exposure to extreme conditions (e.g. corrosive environment and dynamic loads). Many countries tackle with the serviceability of their infrastructure and failing to raise sufficient funding to repair and replace them. In order to optimize the maintenance, long-term reliability and life-cycle cost of infrastructure systems, Structural Health Monitoring (SHM) has received significant public attention in recent years. This paper reports on SHM and data measurement of the Suramadu Bridge, in Indonesia. Data from accelerometer, anemometer, thermocouple, tiltmeter, weight-in-motion (WIM) and electro-magnetic (EM) sensors were recorded since 2012 to 2015, considered in this paper which provide an extensive database for long-term monitoring of the bridge. In addition, a fully detailed finite element (FE) model was developed using SAP2000 and its dynamic behaviour compared with modal analysis. This information collected from the monitoring system in parallel with the FE model can be used for anomaly detection, performance assessment and maintenance planning of the bridge.