Data Quality Objectives in Environmental Sampling, Study notes of Environmental Science

The importance of setting data quality objectives before environmental sampling. It emphasizes the need to focus on collecting the right amount, kind, and quality of data for effective decision-making, rather than relying on past practices or affordability. The u.s. Environmental protection agency's data quality objectives process is discussed as a helpful tool for planning data collection activities to address environmental contamination issues.

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Uploaded on 08/19/2009

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Module 2: Environmental
Sampling
2.6 Data Quality Objectives
4/12/2002 Module 2.7 2
Data Quality Objectives
Data quality objectives are a planning
tool to help ensure that data collected
for a study are
the right amount
the right kind
the right quality
pf3
pf4
pf5

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Module 2: Environmental

Sampling

2.6 Data Quality Objectives

4/12/2002 Module 2.7 2

Data Quality Objectives

Š Data quality objectives are a planning

tool to help ensure that data collected

for a study are

• the right amount

• the right kind

• the right quality

4/12/2002 Module 2.7 3

Š Too often, data are collected based on

• what’s been collected in the past

• what’s easy to collect

• what’s affordable

• what’s familiar

Š rather than focusing on what needs to

be done

4/12/2002 Module 2.7 4

Data Quality Objectives

Š The U.S. Environmental Protection

Agency developed the data quality

objectives process to help organizations

plan data collection activities to

effectively and efficiently address

environmental contamination issues

4/12/2002 Module 2.7 7

Š Identify inputs to the decision

• Decide what data is needed to make the

decisions that need to be made

• This involves thinking about

• what variables need to be measured

4/12/2002 Module 2.7 8

Data Quality Objectives

Š Define the study boundaries

• What is the timeframe for the study

• What are the spatial boundaries of the

study area

• Three dimensions: length, width, depth

4/12/2002 Module 2.7 9

Š Develop a decision rule

• Decide on the action limit by deciding how

the data will be analyzed and what result

will result in which management actions

4/12/2002 Module 2.7 10

Data Quality Objectives

Š Specify limits on decision errors

• Two types of decision errors can exist

• Do nothing when a problem exists

• Do something when no problem exists

• Decide what probability of each type of

error is acceptable