The workshop's scope includes all important aspects of sensor data management, including data acquisition, processing, and storage in remote wireless networks; the handling of uncertain sensor data; and the management of heterogeneous and sometimes sensitive sensor data in databases. The resource-constrained, lossy, noisy, distributed, and remote nature of wireless sensor networks implies that traditional database techniques often cannot be applied without significant retooling. Challenges associated with acquiring, processing, and archiving large-scale, heterogeneous sets of live sensor data also call for novel data management techniques. The inherently incomplete and noisy nature of sensor data further calls for techniques for data cleaning, inference, approximation. Finally, in many applications, the collecting of sensor data raises important privacy and security concerns that require new protection and anonymization techniques.