| Title: |
Data Quality Screening Using Trend Charts
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| Resource Type: |
document --> guidance / decision support
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| Country: |
USA
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| Year: |
2010 |
| Availability: |
Quality Assurance Office, Region 9 – July, 2010
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| Author 1/Producer: |
US Environmental Protection Agency (US EPA)
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| Author / Producer Type: |
Agency, regulator or other governmental or inter-governmental body
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| Format (e.g. PDF): |
PDF
|
|
EUGRIS Keyword(s): |
Contaminated land-->Site investigation-->Reporting
Contaminated land-->Site investigation-->Sampling and analysis
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| Short description: |
U.S. EPA's Region 9 Quality Assurance Office introduces an innovative, transparent,
quantitative and graphical method the Region is using to
communicate analytical data quality information. Trend charts
provide a quick visual method for use in assessing QC results
and QA oversight of Quality Assurance Project Plan
implementation over time e.g., field and laboratory QC data,
performance evaluation sample results, field and laboratory
audit findings for Superfund, RCRA, and water programs. The
charts permit one to identify patterns, potential problems and
to suggest corrective action. EPA's Contract Laboratory Program
(CLP) developed Trending Analytical Data (TAD) tool to generate
and communicate data quality information (quality control
results) for Superfund data users in near real time. This paper
briefly covers the automated tools capability and features that
are available to anyone accessing CLP analytical services.
Although developed for Superfund, private laboratories can
easily prepare charts for samples analyzed in the RCRA and water
programs. The graphical and/or supporting data may then be
loaded onto a data management system (DMS) for sharing
information and QC performance data amongst project staff,
including states, regulated entities and stakeholders for
collaboration and discussion. Region 9's DMS is QUICKR. QUICKR
is currently being utilized to house the charts, along with
associated Quality Assurance Project Plan, Laboratory QC, field
and laboratory audit reports, corrective actions, and validation
reports. Laboratory raw data may also be stored on QUICKR
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Submitted By:
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Professor Paul Bardos WhoDoesWhat?
Last update: 01/12/2010
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