8:10
AM - 8:20 am Module
0: Introduction and Opening Remarks
Presenter: Merrick "Rick" Blancq, DOE/RL DQO Coordinator
This
module briefly discusses the DOE NAMP mission to institutionalize
the DQO Process throughout the DOE complex and provides an
overview and the objectives 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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8:20
AM - 8:30 am Module
1: Agenda and Objectives
Presenter: Mitzi Miller
This module presents the day's agenda and the objectives of
each of the 10 modules. |
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8:30
AM - 9:00 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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9:00
AM - 9:15 AM Module
3: Evolution of the Data Quality Objectives Concept/Process
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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9:15
AM - 9:45 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. |
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| 9:45
AM - 10:00 AM Break |
10:00
AM - 10:15 AM Module 5: The
Systematic Planning Process
Presenter: Jim Davidson
A high level view of the entire remediation process is presented,
and parallels between the scientific method and the remediation
process are discussed. A key point is that a process based
on the scientific method results in defensible documentation
- evidence you need to "prove it". |
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10:15
AM - 11:30 AM Module
6a: The 7-Step DQO Process (Steps 1-5)
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, the actions that need to be performed,
and the information that is needed to conclude a given step
and begin the next step. |
| 11:30
AM - 12:45 PM Lunch
Break |
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12:45 PM
1:30 PM Module
6b: The 7-Step DQO Process (Steps 6- 7)
Presenter:
Jim Davidson
This module continues the presentation of the 7-Step
DQO Process in detail. Each step is discussed in terms of
the information that is needed to begin the step, the actions
that need to be performed, and the information that is needed
to conclude a given step and begin the next step.
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1:30
PM - 2:00 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. |
2:00
PM - 2:45 PM Module
8: ERC DQO Implementation Process Flow Chart
Presenter: Mitzi Miller
The work 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 to a minimum. |
| 2:45
PM - 3:00 PM Short
Break |
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3:00
PM - 4:30 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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| 4:30
PM - 4:45 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 and Closing Remarks
Presenter:
Merrick "Rick" Blancq, DOE/RL DQO Coordinator
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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