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.

 NCEAS Kepler REAP project, LTER, DataONE


See an overview of the training topics and schedule, 

plus links to slide presentations for each of the training sessions..


List of Participants in the workshop.


View background information related to the workshop.


Send us an email or give us a

Derik Barseghian NCEAS, Kepler barseghian at nceas.ucsb.edu
Corinna Gries NTL LTER cgries at wisc.edu
Don Henshaw AND LTER don.henshaw at oregonstate.edu
Jeff Horsburgh CUAHSI jeff.horsburgh at usu.edu
Matthew Jones NCEAS, Kepler jones at nceas.ucsb.edu
Michael Nekrasov DataTurbine mikrasov at gmail.com
John Porter VCR LTER jporter at virginia.edu
Wade Sheldon GCE LTER sheldon at uga.edu
Jeff Taylor NEON jtaylor at neoninc.org
Sameer Tilak DataTurbine sameer at sdsc.edu