Course Description:
This classroom course provides training on the Tribal Data Toolbox, a free, stand-alone Microsoft Access database
designed specifically for tribal air programs. The Toolbox can store and manage all air monitoring data, including
criteria pollutants (both manual and continuous methods); meteorological data; QC and audit data; and administrative
information such as personnel, site information, and equipment tracking. The Toolbox is capable of generating AQS
data files and a variety of reports and charts.
Topics include:
- Entering and modifying personnel, site, and equipment data
- Entering and using Quality Control (QC) data
- Importing continuous and manual (filter) method data files
- Importing meteorological data files
- Qualifying (flagging) and invalidating data
- Generating reports and charts both as summary information and to assist in interpreting data
- Generating AQS-formatted files from raw data files
Who Should Attend:
This course is designed for tribal environmental professionals who are currently monitoring or collecting data for
at least one criteria pollutant or for meteorological conditions. This is an advanced course; applicants should
have completed ITEP’s Air Pollution Technology (TECH) course before attending. ITEP’s Air Monitoring Data Management
course is also strongly recommended as preparation for the Toolbox training.
Course Structure and Approach:
This course includes extensive hands-on computer exercises and activities as well as lectures. Participants are
asked to bring copies of recent data sets for use during class activities. Participants are expected to have an
intermediate-level working knowledge of Microsoft Windows. Although the course is structured around a Microsoft
Access database, the database is form-driven and user-friendly; therefore, no previous Access experience is necessary.
Pre-Requisites:
- Introduction to Tribal Air Quality (or equivalent experience)
- Air Quality Computations (or equivalent experience)
- Air Pollution Technology (or equivalent experience)
Contact:
Lydia Scheer, 928/523-6887, Lydia.Scheer@nau.edu
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