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The recording of kinematic or physiological signals is an important part of any biomechanical study. Systems for the recording of such signals are widely available. However, they are often expensive, complicated to setup and can only be used in a lab environment. Therefore they cannot be used for outdoor recording or long-term monitoring of athletes performing outdoor sports. This is especially a problem for the assessment of habitual outdoor runners, where recording in a more natural environment would be preferred. To overcome these limitations, we have developed a lightweight mobile recording system for sport applications using off-the-shelf hardware. The system consists of SHIMMERTM sensor nodes and a standard AndroidTM smartphone running a mobile recording app. It enables simultaneous recording of physiological and kinematic data, as well as location information during outdoor sports. We give an overview of the recording framework and additionally present an automatic labeling algorithm based on the location of the athlet. We evaluate the usability and packet loss of the system in a pilot study, recording data from different sensors. Additionally a longer outdoor run was recorded to demonstrate the practical use for future studies. Finally, we outline how collected data could be used for data mining and real-time feedback applications.