Title: Data Quality Screening Using Trend Charts 
Resource Type: document --> guidance / decision support 
Country: USA 
Year: 2010 
Availability: Quality Assurance Office, Region 9 – July, 2010 
Author 1/Producer: US Environmental Protection Agency (US EPA) 
Author / Producer Type: Agency, regulator or other governmental or inter-governmental body 
Report / download web link (=direct link): http://www.epa.gov/region9/qa/pdfs/TrendCharting.pdf  
Format (e.g. PDF): PDF 
EUGRIS Keyword(s): Contaminated land-->Site investigation-->Reporting
Contaminated land-->Site investigation-->Sampling and analysis
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 
Submitted By: Professor Paul Bardos WhoDoesWhat?      Last update: 01/12/2010

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