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 |
Resources: