Required Elements in a Quality Assurance Project Plan (QAPP)
Acronyms
- ARAR - Applicable or Relevant and Appropriate Requirement
- QAPP - Quality Assurance Project Plan
- QC - Quality Control
- DQA - Data Quality Assessment
- PE - Performance Evaluation
- TSA - Technical Systems Audit
- MSR - Management Systems Review
- PR -
- RR -
- DQO - Data Quality Objective
Note: These elements are the minimum requirements for a QAPP, so they should be used during QAPP development.
| PROJECT MANAGEMENT | |
|---|---|
| Elements | Requirements |
| A1 Title and Approval Sheet | Title and approval sheet. |
| A2 Table of Contents | Document control format. |
| A3 Distribution List | Distribution list for the QAPP revisions and final guidance. |
| A4 Project/Task Organization | Identify individuals or organizations participating in the project and discuss their roles, responsibilities and organization. |
| A5 Problem Definition/ Background |
|
| A6 Project/Task Description |
|
| A7 Data Quality Objectives for Measurement Data | Decision(s), population parameter of interest, action level, summary statistics and acceptable limits on decision errors. Also, scope of the project (domain or geographical locale). |
| A8 Special Training Requirements/ Certification |
Identify special training that personnel will need. |
| A9 Documentation and Record | Itemize the information and records that must be included in a data report package, including report format and requirements for storage, etc. |
| MEASUREMENT/DATA ACQUISITION | |
| Elements | Requirements |
| B1 Sampling Process Designs (Experimental Design) | Outline the experimental design, including sampling design and rationale, sampling frequencies, matrices, and measurement parameter of interest. |
| B2 Sampling Methods Requirements | Sample collection method and approach. |
| B3 Sample Handling and Custody Requirements | Describe the provisions for sample labeling, shipment, chain-of-custody forms, procedures for transferring and maintaining custody of samples. |
| B4 Analytical Methods Requirements | Identify analytical method(s) and equipment for the study, including method performance requirements. |
| B5 Quality Control Requirements | Describe routine (real-time) QC procedures that should be associated with each sampling and measurement technique. List required QC checks and corrective action procedures. |
| B6 Instrument/Equipment Testing Inspection and Maintenance Requirements | Discuss how inspection and acceptance testing, including the use of QC samples, must be performed to ensure their intended use as specified by the design. |
| B7 Instrument Calibration and Frequency | Identify tools, gauges and instruments, and other sampling or measurement devices that need calibration. Describe how the calibration should be done. |
| B8 Inspection/Acceptance Requirements for Supplies and Consumables | Define how and by whom the sampling supplies and other consumables will be accepted for use in the project. |
| B9 Data Acquisition Requirements (Non-direct Measurements) | Define the criteria for the use of non- measurement data such as data that come from databases or literature. |
| B10 Data Management | Outline the data management scheme including the path and storage of the data and the data record-keeping system. Identify all data handling equipment and procedures that will be used to process, compile, and analyze the data. |
| ASSESSMENT/OVERSIGHT | |
| Elements | Requirements |
| C1 Assessments and Response Actions | Describe the assessment activities needed for this project. These may include DQA, PE, TSA, MSR/ PR/RR |
| C2 Reports to Management | Identify the frequency, content and distribution of reports issued to keep management informed. |
| DATA VALIDATION AND USABILITY | |
| Elements | Requirements |
| D1 Data Review, Validation, and Verification Requirements | State the criteria used to accept or reject the data based on quality. |
| D2 Validation and Verification Methods | Describe the process to be used for validating and verifying data, including the chain-of-custody for data throughout the lifetime of the project. |
| D3 Reconciliation With Data Quality Objectives | Describe how results will be evaluated to determine if DQOs have been satisfied. |
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