7:30
am - 7:50 am Module
1: Introduction
Presenter: Mitzi Miller
This module briefly discusses the DOE NAMP mission to institutionalize
the DQO Process throughout the DOE complex and provides an
overview of the workshop. The basic theme of workshop is:
Do it! (Get the job done.)
Prove it! (Document what/why/how.) |
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7:50
am - 8:30 am Module
2: How many samples do I need?
Presenter: Jim Davidson
Sampling and analysis methods are used to estimate the true
condition of site. However, estimation introduces uncertainty
into the decision-making process. This uncertainty can be
managed through planning so that you can "do it and prove
it" efficiently and effectively. |
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8:30
am - 8:45 am Module
3: Evolutionof the Data Quality Objectives Concept
Presenter: Mitzi Miller
The concept of "Data Quality Objectives" has changed
over time. This module illustrates the historical development
of the Data Quality Objectives concept from the PARCC parameters
to a scientific process. The PARCC parameters don't really
help you "do it and prove it," but a well-structured
and time-honored scientific decision-making process will. |
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8:45
am - 9:15 am Module
4: EPA Inspector General Audit Reports
Presenter: Mitzi Miller
This module summarizes the findings of three different EPA
Inspector General Audit Reports, all of which highlight the
need for the Data Quality Objectives. The Inspector General
identified problems and deficiencies that occurred when the
Data Quality Objectives process was not followed and noted
that Hanford has made some real progress towards a solution. |
| |
9:15
am - 9:30 am Module
5: The Remediation Process and the Scientific Method
Presenter: Mitzi Miller
A high level view of the entire remediation process is presented,
and parallels between the scientific method and the environmental
decision-making process are discussed. A key point is that
a process based on the scientific method results in defensible
documentation. |
| 9:30
am - 9:45 am Break |
|
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9:45
am - 11:00 pm Module
6a: The 7-Step DQO Process (Steps 1-7)
Presenter: Mitzi Miller
This module presents the 7-Step DQO Process in detail. Each
step is discussed in terms of the information that is needed
to begin the step (Input), the actions that need to be performed
(Activities), and the information that is needed to conclude
a given step and begin the next step (Output). |
| 11:00
am - 12:30 am Lunch
Break |
|
12:30
pm - 1:00 pm Module
7: The DQO Electronic Template and ERC DQO Web Page
Presenter: Mitzi Miller
This module briefly discusses how the DQO Electronic Template
is structured and illustrates how it brings all the needed
information to the user's desktop. Also, the ERC DQO Web Page
is shown. |
1:00
pm - 1:45 pm Module
8: ERC DQO Implementation Process Flow Chart
Presenter: Mitzi Miller
The process flow diagram for implementing the ERC DQO process
is discussed. Pivotal elements of this process are getting
the key decision-makers involved both early and often, and
keeping meeting times to a minimum. |
| 1:45
pm - 2:00 pm Break |
|
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2:00
pm - 3:30 pm Module
9: Visual Sample Plan Demonstration
Presenter: James R. Davidson
The development of a sample plan involves evaluating trade-offs
between decision error, sampling costs, and remediation costs.
Visual Sample Plan software provides a quick and easy way
to visualize the impacts of various sample designs. |
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| 3:30
pm - 4:00 pm Module 10: First
Day Wrap-Up |
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10a) Key Elements
of the 7-Step DQO Process.
Presenter:
Mitzi Miller
A quick
review of the key elements of the DQO 7-Step Process is
presented. The key elements highlighted represent the fundamental
components that must be present in every DQO.
|
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10b) Managing
Uncertainty: Key Points to Remember
Presenter:Mitzi
Miller
Key
points to remember are summarized in this module. They all
highlight how the DQO process helps you make order out of
the chaos of regulations, standards, and requirements that
surround collecting and analyzing environmental data.
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