a. Quality Assurance Overview
b. Quality Management Planning and Implementation
i. Setting Data Quality Objectives
ii. Regulatory Compliance
iii. Identifying Responsible Personnel
c. Systematic Project Planning:
i. Quality Management Plan (QMP)
ii. Quality Assurance Project Plan (QAPP)
iii. Field Sampling Plan (FSP); Work Plan (WP); Sampling and Analysis Plan (SAP)
iv. Coordination of laboratory and field sampling activities
d. Issues in Field Sampling
i. Preparation
ii. Implementation/Communication
iii. Corrective Action
iv. Post-Sampling Review
e. Data Quality Indicators
i. Precision
ii. Accuracy
iii. Representativeness
iv. Reproducibility
v. Completeness
f. Data Quality Assessment I: Statistical Methods
g. Data Quality Assessment II: Data Verification and Data Validation
h. Data Quality for Decision-making and Defensibility
