Quality Assurance Project Plan Including Sampling And Analysis Plan (Page 45 of 67) in pdf

Hunters Point Shipyard Parcel F ESTCP Demonstration Plan

Appendix A: Quality Assurance Project Plan

Data management (e.g., paper flow; data tracking, data entry, etc.) and data assessment (e.g., verification,

validation, and data quality assessment [DQA]) activities require adequate QC procedures to ensure that

the SOPs are being followed and result in records/reports that are accurate and appropriate. QC proce-

dures include peer review of each step and management review of a certain percentage of the data. Each

laboratory must document its data management procedures in an SOP. Data verification and review is

described in Section A.5.0.

A.3.10.1 Field Data

Preprinted labels (Section A.3.3.2) that include a unique sample identification number and prompt for

required sample-specific information will be provided to the field team. A separate label is attached to

each sample container and the sample ID recorded on the field log. This provides a unique link between

the field records and each sample.

Sample collection information is hand-recorded in bound, prepaginated logbooks, then keyed into spread-

sheets or project-specific applications. Data entry into the electronic format follows the sampling efforts.

In addition to sample collection information, which describes where and how samples were collected, the

field team may also record other information associated with the collection of a sample. Sample custody

forms document the transfer of each collected sample from the field to the laboratory, and from the

processing laboratory to the analytical laboratory.

A.3.10.2 Laboratory Data

Data management at the laboratory begins with the receipt of samples. Samples are logged in and

assigned unique identification numbers that are used to identify samples throughout storage, processing,

analysis, and reporting. Laboratory data will be reported by analytical batch (20 samples) with a unique

batch ID that is clearly and directly related to the unique quality control samples that were processed and

analyzed with the batch. Required QC sample type and frequency are defined in Tables A-9 and A-10.

QC samples should not be reported across batches.

For critical data analysis by BDO, a Laboratory Information Management System (LIMS) houses all data

for samples from the arrival of the sample in the laboratory to the final delivery of data to the client. This

system is used to track samples from arrival through analysis to reporting. The LIMS software is a two-

fold system. SQL Server 2000 is used as the back end of the system; all data is stored in a SQL Server

2000 database. Data is entered and manipulated on the end user level with an application developed in

Microsoft

Access 2000. With the exception of the database administrator and the database developer, all

access to the database is accomplished using Microsoft

Access 2000. All data and derived products will

be stored on the laboratory server and burned onto compact discs (CDs).

A.3.10.3 Electronic Data Deliverables

Electronic data files are named uniquely and systematically, enabling tracking and retrieval. All instru-

ments use the same software versions. Electronic data reside on specified servers, not individual personal

computers (PCs). Raw and final data files are saved to CDs in read-only format and are stored in locked

cabinets.

All laboratories generating data that will be entered into the Stanford database are required to submit data

to the data manager in EDD format. The EDD must be formatted as an ASCII-ii file or a spreadsheet of

the laboratory data in the SOP-specified format. Section A.2.7.6 discusses the EDD.

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Quality Assurance Project Plan Including Sampling And Analysis Plan Page 45

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