Condition data for the CMS silicon strip tracker reconstruction

The silicon strip tracker of the CMS experiment at LHC is the largest silicon tracker ever built for high energy physics experiments. With nearly 9.6 millions of analog read-out channels it poses significant challenges for the reconstruction, calibration and monitoring of the collected data. Beside the event-by-event data, recorded from the detector, the reconstruction is based on a set of non-event data that allow to handle the status of the devices in order to interpret the event data. These non-event data are referred to as condition data. The condition data are held in several databases designed to configure the read-out devices, the online high-level trigger system as well as the offline reconstruction and analysis applications. In this contribution we will describe the condition data used for the silicon strip tracker data reconstruction, their optimizations connected to the timing and CPU constraints, the procedure to manipulate and transfer them from a database to another, assuring the consistency and synchronicity of the available information.