Quality Assurance Project Plan Including Sampling And Analysis Plan (Page 50 of 67) in pdf

Hunters Point Shipyard Parcel F ESTCP Demonstration Plan

Appendix A: Quality Assurance Project Plan

A.5.0 DATA VALIDATION AND USABILITY

This section of the QAPP provides a description of the data review activities that will occur after the data

collection phase of the project is completed. The requirements and methods for data review, verification,

and validation, as well as the process for reconciling data generated with the DQOs are described. Imple-

mentation of these methods will determine whether or not the data conform to the specified primary and

secondary performance criteria, thus satisfying the project objectives.

A.5.1

Data Review, Validation, and Oversight

Data review includes data verification, validation, and oversight, as well as reconciliation of the data quality

with user requirements. The data verification process includes the initial review of the data packages to

ensure that the analyses requested have been provided. Data validation is the process of reviewing data and

accepting, qualifying, or rejecting data on the basis of sound criteria using established U.S. EPA guidelines.

Final technical data review of analytical data occurs after independent data validation has been completed. It

provides an indication of overall trends in data quality and usability. These procedures are detailed below.

A.5.1.1

Data Verification

The analytical data generated during field investigations will be assembled in packages by sample

delivery group, processing batch, or analytical batch. The contents of a data package are defined in Sec-

tion A.2.7.5. The analytical chemistry data packages generated by BDO will contain supporting QC data

for the associated field samples and will be validated by an independent data validator (Section A.5.1.2).

Each analytical laboratory is responsible for reviewing each data package prior to release for validation.

At a minimum, the following reviews must be performed:

•

Peer review of the data by a qualified analyst;

•

Review of the reported data and deviations by a technical supervisor or data coordinator; and,

•

QA office review of 10% of the data.

Implementation of these procedures is defined in laboratory SOPs. Reviews must ensure the following:

•

All data for project samples are reported accurately and completely;

•

Sample analysis was conducted in accordance with required laboratory procedures and

analytical methods specified in the QAPP;

•

Criteria for data quality have been met or deviations are documented in the package narrative

and data flags have been appropriately applied;

•

Each data set is appropriately reviewed; and,

•

All project requirements have been met.

A.5.1.2

Data Validation

Data validation is conducted to assess the compliance of chemistry data with the DQOs defined in the

QAPP. Data are assessed for completeness and compliance with the requirements of the analytical meth-

ods. Validation is conducted on each data package to determine the adequacy of the data to meet the

DQOs.

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Quality Assurance Project Plan Including Sampling And Analysis Plan Page 50

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