Tools and training for sensor network establishment and management May 1 - 4, 2012

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.

Sponsors: LTER, NCEAS Kepler REAP project, DataONE

Trainers:

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
Matt 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

Agenda

Participants

Resources: