The goal of this training is to promote best practices for sensor management and provide hands-on training in the use of existing tools and common software. This workshop is designed to introduce several options for managing streaming sensor data, discuss requirements for sensor data management systems and best practices in quality assurance and quality control (QA/QC). Hands-on exercises will focus on open source software stacks using the Open Source DataTurbine (OSDT), the Kepler Workflow System with R, and CUAHSI's Observation Data Model to capture, quality control, and archive the data. Ultimately, it is hoped that this training will stimulate collaborative efforts where sites can share tool experiences or even code development.
Workshop dates: May 1 - May 4 (noon), 2012
Location: LTER Network Office, University of New Mexico, Albuquerque, NM
We have support to cover travel and lodging for participants that need it.
Sponsors: NCEAS Kepler REAP project, LTER, DataONE