EPA REQUIREMENTS
FOR
QUALITY ASSURANCE PROJECT PLANS
FOR ENVIRONMENTAL DATA OPERATIONS
EPA QA/R-5
United States Environmental Protection Agency
Quality Assurance Management Staff
Washington, DC 20460
DRAFT INTERIM FINAL
AUGUST 1994

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U.S. Environmental Protection Agency Quality System Series
This document is one of the U.S. Environmental Protection Agency Quality System Series
requirements and guidance documents. These documents describe the EPA policies and
procedures for planning, implementing, and assessing the effectiveness of the Quality System
Requirements documents (identified as EPA QA/R-x) establish criteria and mandatory
specifications for quality assurance (QA) and quality control (QC) activities Guidance
documents (identified as EPA QA/G-x) provide suggestions and recommendations of a non-
mandatory nature for using the various components of the Quality System.
Copies of EPA Quality System Series documents may be obtained from the following
source
US EPA
ORD Publications Office
Center for Environmental Research Information (CERI)
26 W Martin Luther King Drive
Cincinnati, OH 4S268
Phone: (513) 569-7562
Questions regarding this document or other Quality System Series documents should be
directed to.
U.S. EPA
Quality Assurance Management Staff (8201)
401 M Street SW
Washington, DC 20460
Phone: (202)260-5763
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FOREWORD
The U S Environmental Protection Agency (EPA) has developed the Quality Assurance
Project Plan (QAPP) to document the type and quality of data needed for environmental
decisions and to provide a blueprint for collecting and assessing those data from environmental
programs. The development, review, approval, and implementation of the QAPP is an essential
part of the mandatory Agency-wide Quality System
This document contains the same requirements as Chapter S of the US. EPA Quality
Manual for Environmental Programs, for EPA organizations. This document provides the
QAPP requirements in an external publication primarily for organizations that conduct
environmental data operations in behalf of EPA through contracts, financial assistance
agreements, and inter-agency agreements, however, it may be used by EPA as well for specific
plan requirements A companion document provides suggestions on preparing, reviewing, and
implementing QAPPs. That document is:
EPA QA/G-5 Guidance for Quality Assurance Project Plans
Effective use of this document requires that appropriate management systems for QA and QC
have been implemented by the user organization. If this is not the case, the user should consult
the following references for requirements for quality systems supporting EPA work
EPA QA/R-1 EPA Quality Systems Requirements for Environmental Programs
EPA QA/R-2 EPA Requirements for Quality Management Plans
EPA QA/G-2 Guidance for Quality Management Plans
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ACKNOWLEDGEMENTS
This document reflects the collaborative efforts of many quality management
professionals throughout the Environmental Protection Agency, and among the contractor
community, who responded to the challenge for continuous improvement in quality systems
supporting environmental programs. These individuals, representing seven of the ten EPA
Regional Offices, eight Program Office organizations, and eight research and development
laboratories, provided a diverse and broad range of needs and insight in environmental data
collection programs Their contributions and the comprehensive reviews by members of the
EPA quality community during the development of this document are greatly appreciated
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TABLE OF CONTENTS
Page
Foreword ... .....	iii
Acknowledgements .... 		iv
I.	Introduction	 		1
II.	Quality Assurance Project Plan Requirements		4
m. QAPP Elements	7
A Project Management 		8
B Measurement/Data Acquisition 		12
C Assessment/Oversight 		16
D Data Validation and Usability 		18
IV. QAPP Implementation 		19
References .... 		20
Appendix A Crosswalk Between QA/R-5 and QAMS-005/80	A-1
Appendix B Terms & Definitions . 		1
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CHAPTER I
INTRODUCTION
This document presents specifications and instructions for the information that must be
contained in a Quality Assurance Project Plan (QAPP) for environmental data operations
performed by or on behalf of the U S. Environmental Protection Agency (EPA) The document
also provides the procedures for QAPP review and approval. Users of this document should
assume that all of the elements described herein are required in the QAPPs unless otherwise
directed by EPA. The final decision on the use of any or ail of these elements for QAPPs will be
made by the overseeing or sponsoring EPA organization^
The EPA annually spends more than several hundred million dollars in the collection of
environmental data.1 In addition, the regulated community may spend as much as an order of
magnitude more each year in complying with Agency requirements. There are several important
concerns common to environmental data operations2 for both the EPA and the regulated
community. Both groups want to make decisions using the right data collected properly the first
time.
The complexity of environmental data operations demands that & systematic process and
structure for quality must be established if decision makers are to have the necessary confidence
in the quality of data that support their decisions. This process and structure must include the
means to determine when the data are not fully usable and what to do about the situation This
process and structure is provided by the quality system for the organization conducting the
environmental data operations. EPA policy (Ref 1) requires that the collection of environmental
1Pnvirr*im*nt*l Ha»« include any pjmtmetera nr piacea nf informatjoc collected or pnxiuoed from
measurements, analyses, or modeb of environmental processes or coodiuoas and effects of pollutants on human
health and the ecology, including results from laboratory analyses, or from experimental systems representing such
processes and conditions.
zThis tens is used throughout this document to refer to activities involving the acquisition, analysis, and
evaluation of environmental data. See Appendix B for a more complete definition.
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data by and on behalf of the Agency be supported by a mandatory quality system This
requirement is externalized through several mechanisms, including 48 CFR 15, Part 1546, for
contractors (Ref.2), 40 CFR 1, Parts 30 and 31, for financial assistance recipients (Ref 3,4), and
other mechanisms, such as consent agreements in enforcement actions.
Moreover, it is also EPA policy that all environmental data used in decision making be
supported by an approved Quality Assurance Project Plan The QAPP documents how QA and
QC are applied to an environmental data operation to assure that the results obtained are of the
type and quality needed and expected Quality assurance (QA) and quality control (QC) are
familiar terms that are related but distinct In EPA's view, these terms are defined (Ref 5) as
follows
Quality Assurance
An integrated system of management activities involving planning,
implementation, assessment, reporting, and quality improvement to
ensure that a process, item, or service is of the type and quality
needed and expected by the client.
Quality Control:
The overall system of technical activities that measures the attrib-
utes and performance of a process, item, or service against defined
standards to verify that they meet the stated requirements estab-
lished by the customer; operational techniques and activities that
are used to fulfill requirements for quality.
The QAPP is the principal product of the planning process inasmuch as it integrates all
technical and quality aspects for the life-cycle of the project, including planning, implementa-
tion, and assessment. The purpose of the QAPP is to document planning results for environmen-
tal data operations and to provide a project-specific "blueprint" for obtaining the type and quality
of environmental data needed for a specific decision or use. Implementation of the approved
QAPP is expected.
The ultimate success of an environmental program or project depends on the quality of
the environmental data collected and used in decision-making, and this may depend significantly
on the adequacy of the QAPP and its effective implementation. This planning must include the
"stakeholders" (i.e., the data users, data producers, decision makers, etc.) to ensure that all needs
are defined adequately and that the planning for quality addresses the specific needs defined
While time spent on such planning may seem unproductive and costly, the penalty for ineffective
planning includes greater cost and lost time In the chapters to follow, the elements of the QAPP
are discussed in detail. These elements represent the information that EPA believes to be
necessary for data operations involving the characterization of environmental processes and
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conditions.
This document replaces QAMS-005/80, Interim Guidelines and Specifications for
Preparing Quality Assurance Project Plans (Ref 6) This document will expire five years from
the official date of publication.
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CHAPTER n
QUALITY ASSURANCE PROJECT PLAN
REQUIREMENTS
POLICY
All work performed by or on behalf of EPA that involves the collection or use of
environmental data in Agency programs shall be implemented in accordance with an Agency-
approved QAPP developed from a systematic planning process based on the "graded approach"3
Work on behalf of EPA includes activities performed under contract (i.e., work assignments,
technical directives, delivery orders, etc ), assistance agreement, or interagency agreement All
such work funded by EPA and involving the acquisition of environmental data generated from
direct measurement activities, collected from other sources, or compiled from computerized data
bases and information systems, shall not be implemented without an approved QAPP Such
requirements should be negotiated into applicable interagency agreements, including sub-
agreements.
PURPOSE
The QAPP is a critical planning document for any environmental data operation The
QAPP documents how environmental data operations are planned, implemented, and assessed
during the life cycle of a program, project, or task. The purpose of the QAPP is to define in
detail how specific QA and QC activities will be implemented during a particular project
APPLICABILITY
These QAPP requirements apply to all (intramural and extramural) environmental data
operations that acquire, generate, or compile environmentally-related data and that are performed
by or on behalf of EPA. These operations include work performed through contracts, inter-
agency agreements, and assistance agreements (e g., cooperative agreements, grants), and in
response to statutory or regulatory requirements and consent agreements negotiated as part of
3 A graded approach is the process of basing the level of application of managerial controls applied to an
item or work according to the intended use of the results and the degree of confidence needed in the quality of the
results.
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enforcement actions. Where specific Federal regulations require QA/QC, QAPPs shall be
prepared, reviewed, and approved in accordance with the specifications contained in this
document for the data collection activity unless explicitly superseded by the regulation.
Environmental data operations encompass diverse and complex activities, and represent
efforts pertaining to rulemaking, compliance with regulations, and research. Consequently, any
plan developed to apply QA/QC to environmental activities must be flexible. This may mean,
for example, that some environmental data operations, perhaps involving research projects, may
only require a qualitative discussion of the experimental process and its objectives, such as a
project narrative statement. Others may require extensive documentation in order to adequately
describe a complex environmental program. This means that the content and level of detail in
each QAPP will vary according to the nature of the work being performed and the intended
use of the data. This is the concept of "graded approach." The decision on QAPP content and
level of detail belongs to the EPA organization responsible for the work to be done This is
necessary to acknowledge and accommodate regulatory authorities that may exist and that may
take some precedence over the results of the planning process. EPA believes that the type,
quantity, and quality of environmental data needed for their intended use should be defined and
documented using the Data Quality Objectives (DQO) Process (Kef. 7), or its equivalent The
results of the DQO Process provide key inputs to the QAPP and will largely determine the level
of detail required in the QAPP.
SPECIAL REQUIREMENTS
In some cases, it may be necessary to add special requirements to the QAPP The EPA
organization sponsoring the work shall define any specific requirements beyond those listed in
this manual. If none are specified, the QAPP shall address all required elements. Attached
documentation, such as an approved Work Plan, Standard Operating Procedures (SOPs), etc ,
may be referenced in response to a particular required QAPP element. This is encouraged to
reduce the size of the QAPP and the time required to prepare it. The QAPP shall also address
related QA planning documentation (e.g.. Quality Management Plans, QA Project Plans) from
subcontractors or suppliers of services critical to the technical and quality objectives of the
project or task. In any case, all referenced documents must be attached to the QAPP itself or be
placed on file with the appropriate EPA office and available for routine referencing when
needed. Such references must be kept current by the submitter.
QAPP PREPARATION RESPONSIBILITIES AND APPROVALS
The QAPP may be prepared by groups outside EPA: a contractor, an assistance agree-
ment holder, or another Federal agency under an interagency agreement. Except where
specifically delegated, all QAPPs prepared by non-EPA organizations must be approved by
EPA before implementation.
EPA believes that the appropriate content and level of detail in the QAPP may be best
achieved by having the QAPP requirements reviewed and confirmed by the EPA project
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manager4 with the assistance and approval of the EPA QA Manager In some cases, the
authority to review and approve QAPPs is delegated to a QA Coordinator in another part of the
EPA organization covered by the same Quality Management Plan (QMP) In other cases, the
authority to review and approve QAPPs is delegated in writing by EPA to another organization
(i e , a state or Federal agency) when the environmental data collection program itself has been
delegated to the other organization for implementation. In such cases, it is possible that the EPA
Project Officer and QA Manager may not be involved in the review and approval steps
None of the environmental work addressed by the QAPP should be started until the
initial QAPP has been approved and distributed to project personnel. In limited circumstances,
EPA may grant conditional approval to a QAPP to permit some work to begin while non-
critical deficiencies in the QAPP are being resolved. Subject to these exceptions, it is the
responsibility of the organization performing the work to assure that no environmental data are
acquired before the QAPP is approved and received by project personnel.
QAPP IMPLEMENTATION AND REVISION
All QAPPs shall be implemented as approved for the intended work. The group
performing the work is responsible for implementing the approved QAPP and to ensure that all
personnel involved in the work have copies of the approved QAPP and all other necessary
planning documents. These personnel should understand the requirements prior to the start of
data generation activities.
Because of the complex and diverse nature of environmental data operations, changes to
original plans are often needed. When such changes occur, the EPA Project Manager must
determine if the change significantly impacts the technical and quality objectives of the project
This determination should be made in consultation with the EPA QA Manager When a
substantive change is warranted, the originator of the QAPP shall modify the QAPP to document
the change and submit the revision for approval by the same authorities that performed the
original review. Only after the revision has been approved and received (at least vcrbaJly with
written follow-up) by project personnel, shall the change be implemented.
It is absolutely essential that the QAPP be kept current and that all personnel involved in
the work effort have easy access to a current version of the QAPP. For programs or projects of
long duration, such as multi-year monitoring programs, the QAPPs shall be reviewed at least
annually by the Project Manager. When revisions are necessary to reflect current needs, the
QAPP must be revised and resubmitted for review and approval.
4This term refers to the responsible EPA official for the project and includes such descriptors as Project
Officer, Delivery Order Project Officer, Work Assignment Manager, and Principal Invest!gator
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CHAPTER HI
QAPP ELEMENTS
The QAPP must provide sufficient detail to demonstrate that:
•	the project technical and quality objectives (i.e., Data Quality Objectives, when
used) are identified and agreed upon;
•	the intended measurements or data acquisition methods are appropriate for
achieving project objectives;
•	assessment procedures are sufficient for confirming that data of the type and
quality needed and expected are obtained; and
•	any limitations on the use of the data can be identified and documented.
Most environmental data operations require the coordinated efforts of many individuals, possibly
including managers, engineers, scientists, statisticians, and others. The QAPP must integrate the
contributions and requirements of everyone involved into a clear, concise statement of what is to
be accomplished, how it will be done, and by whom. It must provide understandable instructions
to those who must implement the QAPP, including the field sampling team, the analytical
laboratory, and the data reviewers. The use of national standards and practices and inclusion of
standard operating procedures is encouraged in all aspects of the QAPP,
In order to be effective, the QAPP must specify the level or degree of QA/QC needed for
the particular environmental data operations. Because this will vary according to the purpose
and type of work being done, EPA believes that the graded approach should be used in planning
the work. This means that the QA/QC applied to a project will be commensurate with
•	the purpose of the environmental data collection (e.g., enforcement, R&D),
•	the type of work to be done (e g., monitoring, site characterization, bench level
proof of concept), and
•	the intended use of the results
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The QAPP elements that follow are presented in an order corresponding to planning,
implementation, and assessment. They have been grouped for convenience into four types of
elements All dements must be addressed in the QAPP. If an element is not applicable,
state this in the QAPP. The four types of elements and their intent are summarized as follows:
A Project Management - This group of QAPP elements covers the basic area of
project management, including the project history and objectives, roles and
responsibilities of the participants, etc. These elements ensure that the project has
a defined goal, that the participants understand the goal and the approach to be
used, and that the planning outputs have been documented.
B Measurement/Data Acquisition - This group of QAPP elements covers all aspects
of measurement systems design and implementation, ensuring that appropriate
methods for sampling, analysis, data handling, and QC are employed and are
property documented.
C Assessment/Qversiyht - This group of QAPP elements addresses the activities for
assessing the effectiveness of the implementation of the project and associated
QA/QC. The purpose of assessment is to ensure that the QAPP is implemented as
prescribed.
D Data Validation and Usability - This group of QAPP elements covers the QA
activities that occur after the data collection phase of the project is completed
Implementation of these elements ensures that the data conform to the specified
criteria, thus achieving the project objectives.
This group of QAPP elements covers the basic area of project management, including the
project history and objectives, roles and responsibilities of the participants, etc. These elements
ensure that the project has a defined goal, that the participants understand the goal and the
approach to be used, and that the planning outputs have been documented. They include
GROUPA
PROJECT MANAGEMENT
Al
A2
A3
A4
A3
A6
A7
A8
A9
Title and Approval Sheet
Table of Contents
Distribution List
Project/Task Organization
Problem Definition/Background
Project/Task Description
Quality Objectives and Criteria for Measurement Data
Project Narrative (ORD Only)
Special Training Requirements/Certification
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A10	Documentation and Records
A1	Title and Approval Sheet
Include:
Title of the plan
Name of the organizations) implementing the project
Names, titles, signatures of appropriate approving officials and
their approval dates for:
Organization's Project Manager
Organization's Quality Assurance Manager
EPA Project Manager
EPA Quality Assurance Manager
Others, as needed (e g., State, other Federal Agency)
A2	Table of Contents
List the sections, figures, tables, references, and appendices. Document control
format may be required at the option of the Project Manager and QA Manager
When required by EPA, use document control format in the upper right-hand
corner of each page following the Title and Approval Sheet.
A3	Distribution List
List the individuals and their organizations who will receive copies of the ap-
proved QAPP and any subsequent revisions. Include all managers who are
responsible for implementing the plan, all persons responsible for implementation,
and the QA managers and representatives of all groups involved.
A4	Project/Task Organization
Identify the individuals or organizations participating in the project and discuss
their specific roles and responsibilities. Include the principal data users, the
decision-makers, the project QA manager, and all persons responsible for
implementation. The project quality assurance manager must be independent of
the unit generating the data. (This does not include being independent of senior
officials, such as corporate managers or agency administrators, who are nomi-
nally, but not functionally, involved in data generation, data use, or decision-
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making.)
Provide a concise organization chart showing the relationships and the lines of
communication among all project participants Include other data users who are
outside of the organization generating the data, but for whom the data are
nevertheless intended. The organization chart must also identify any subcontrac-
tor relationships relevant to environmental data operations.
A5	Problem Definition/Background
State the specific problem to be solved or decision to be made. Include sufficient
background information to provide a historical perspective for this particular
project.
A6	Project/Task Description
Provide a description of the work to be performed and schedule for imple-
mentation. This discussion may not need to be lengthy or overly detailed, but it
should give an overall picture of how the project will resolve the problem or
question described in A5 Describe in general terms the following, as needed
•	Measurements that will be made during the course of the project
•	Applicable technical, regulatory, or program-specific quality standards,
criteria, or objectives.
•	Any special personnel and equipment requirements.
•	The assessment tools needed (i e., program technical reviews, peer reviews,
surveillances, and technical audits) for the project.
•	A schedule for the work to be performed.
•	Project and quality records required, including the types of reports needed
A7	Quality Objectives and Criteria for Measurement Data
The QAPP must include a statement of the project quality objectives and measure-
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ment performance criteria. EPA supports the use of a graded approach5 to QA
and recommends that the initial planning be accomplished using the DQO
Process, which provides quality objectives based on the user's determination of
tolerable error in the results Even in those cases in which the formal DQO
Process is not used, a statement of the project quality objectives and measurement
performance criteria is needed. For details on the DQO Process and when it
should be used, see the EPA guidance document (QA/G-4) (Ref 7)
A8	Project Narrative
Discuss in a narrative form the following issues as they pertain to the project or
task, as needed:
•	work to be performed or hypothesis to be tested,
•	anticipated use of the data,
•	how (quantitatively or qualitatively) the success of the project or task will
be determined (A7, D3),
•	survey design requirements and description (Bl),
•	sample type and sampling location requirements (B2),
•	sample handling and custody requirements (B3),
•	selection of analytical methods (B4),
•	calibration and performance evaluation samples for sampling and analytical
methods used (B5),
•	sampling or analytical instrumentation requirements (B6),
•	plans for peer or readiness reviews prior to data collection (C1). and
•	any on-going assessments during actual operation (oversight) (C1)
QAPP elements corresponding to the items to be addressed in the narrative are
given in parentheses. The narrative should demonstrate to technical or QA
reviewers that the project or task will achieve its stated quality objectives
A9	Special Training Requirements/Certification
Identify and describe any specialized training or certification requirements needed
by personnel in order to successfully complete the project or task. Discuss how
such training will be provided and how the necessary skills will be assured and
documented.
5 A graded approach to QA/QC bases the level of managerial controls applied to an item or work according
to the intended use of the results and the degree of confidence needed in the quality of the results.
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A10	Documentation and Records
Itemize the information and records which must be included in a data report
package and specify the desired reporting format. Documentation can include raw
data, field logs, instrument printouts, and results of calibration and QC checks.
Specify the laboratory turnaround time needed. Specify whether a field sampling
and/or laboratory analysis case narrative6 is required to provide a complete
description of any difficulties encountered during sampling or analysis.
Specify any requirements for the final disposition of records and documents,
including location and length of retention period.
GROUP B MEASUREMENT/DATA ACQUISITION	
This group of QAPP elements covers all aspects of measurement systems design and implemen-
tation, ensuring that appropriate methods for sampling, analysis, data handling, and QC are
employed and are documented. The following QAPP elements describe the requirements related
to the actual methods to be used for the:
•	collection, handling, and analysis of samples;
•	measured parameters obtained from other sources (e.g., data contained in a
computer data base from previous sampling activities, data compiled from
surveys, data taken from the literature), and
•	the management (i e, compiling, handling) of the data.
The elements include:
B1
Sampling Process Design (Experimental Design)
B2
Sampling Methods Requirements
B3
Sample Handling and Custody Requirements
B4
Analytical Methods Requirements
BS
Quality Control Requirements
B6
Instrument/Equipment Testing, Inspection, and Maintenance

Requirements
B7
Instrument Calibration and Frequency
BS
Inspection/Acceptance Requirements for Supplies and Consum-
ables
Case Narrative refers to an	summary of the analytical work performed by a laboratory thai describes in
narrative form what activities were pa formed and identifies any problems encountered. The case narrative provides
additional information to user in interpreting the data received.
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B9
BIO
Data Acquisition Requirements (Non-direct Measurements)
Data Management
The methods described in these elements should have been summarized earlier in element A6
The purpose here is to provide detailed information on the methods. If the designated methods
are well documented and are readily available to all project participants, citations are adequate.
If these methods are not well documented, detailed copies of the methods and/or SOPs must
accompany the QAPP either in the text or as attachments.
B1	Sampling Process Design (Experimental Design)
Describe the experimental design or data collection design for the project,
including:
•	the types and numbers of samples required,
•	the design of the sampling network,
•	the sampling locations and frequencies,
•	sample matrices,
•	measurement parameters of interest, and
•	the rationale for the design.
When field screening techniques will be used to identify samples for laboratory
analysis, describe the criteria for sample selection.
All measurements should be classified as critical (i.e., required to achieve project
objectives) or non-critical (informational purposes only). For non-standard
methods or unusual sample matrices and situations, appropriate method validation
study information is needed to confirm the performance of the method for the
particular matrix. If previous validation studies are not available, they must be
developed during the project and included as part of the project results Identify-
ing gtanHarH methods by number, date, and regulatory citation (as appropriate) is
often sufficient. However, many published (and even regulatory) methods allow
the user to select from various options. The method citations should state exactly
which options are being selected.
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B2
Sampling Methods Requirements
Describe the procedures for collecting samples. Identify the sampling methods
and equipment, including any implementation requirements, decontamination
procedures, and materials needed. Describe specific performance requirements
for the method. For each sampling method, identify any support facilities needed
The discussion should also address what to do when a failure in the sampling or
measurement system occurs and who is responsible for corrective action
B3	Sample Handling and Custody Requirements
Describe the provisions for sample handling and custody, taking into account the
nature of the samples, the maximum allowable sample holding times before
extraction or analysis, and available shipping options and schedules
B4	Analytical Methods Requirements
Identify the analytical methods and equipment required, including any extraction
methods, laboratory decontamination procedures and materials (such as in the
case of hazardous or radioactive samples), waste disposal requirements (if any),
and any specific performance requirements for the method. The QAPP should
also address what to do when a failure in the analytical system occurs and who is
responsible for corrective actioa
B5	Quality Control Requirements
Identify the QC procedures needed for each sampling, analysis, or measurement
technique. For projects at or beyond the "proof-of-concept" stage and projects
employing well-characterized methods, this section should list each required QC
procedure, along with the associated acceptance criteria and corrective action.
(Because standard methods are often vague or incomplete in specifying QC
requirements, simply relying on the cited method to provide this information is
usually insufficient.) In any case, QC procedures must frequently be modified on
a project-specific baas in order to meet data specifications. •
Identify required QC checks, such as matrix spikes, duplicates, blanks, laboratory
control samples, surrogates, or second column confirmation. State the frequency
of analysis for each type of QC check, and the spike compounds and levels State
or reference the required control limits for each QC check and corrective action
required when control limits are exceeded.
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Describe or reference the procedures to be used to calculate each of the QC
statistics, including the QC checks described in the preceding paragraph as well as
precision and bias. Copies of the formulas are acceptable as long as the accompa-
nying narrative or explanation specifies clearly how the calculations will address
difficult situations such as missing data values and "less than" or "greater than"
values
B6	Instrument/Equipment Testing, Inspection, and Maintenance Requirements
Describe how inspections and acceptance testing of environmental sampling and
measurement systems and their components will be performed and documented to
assure their intended use as specified by the design. Identify and discuss the
procedure by which final acceptance will be performed by independent personnel
(e g., personnel other than those performing the work) and/or by the EPA Project
Officer Describe how deficiencies are to be resolved, and when re-inspection
will be performed
Describe or reference how periodic preventive and corrective maintenance of
measurement or test equipment shall be performed to ensure availability and
satisfactory performance of the systems. Identify the equipment and/or systems
requiring periodic maintenance. Discuss how the availability of critical spare
parts, identified in the operating guidance and/or design specifications of the
systems, will be assured and maintained.
B7	Instrument Calibration and Frequency
Identify all tools, gauges, instruments, and other sampling, measuring, and test
equipment used for data collection activities affecting quality that must be
controlled and, at specified periods, calibrated to maintain performance within
specified limits. Describe or reference how calibration will be conducted using
certified equipment and/or standards with known valid relationships to nationally
recognized performance standards. If no such nationally recognized standards
exist, document the basis for the calibration. Identify the certified equipment
and/or standards used for calibration. Indicate how records of calibration shall be
maintained and be traceable to the instrument.
Bft	Inspection/Acceptance Requirements for Supplies and Consumables
Describe how and by whom supplies and consumables shall be inspected and
accepted for use in the project. State acceptance criteria for such supplies and
consumables.
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B9	Data Acquisition Requirements (Non-direct Measurements)
Identify any types of data needed for project implementation or decision making
that are obtained from non-measurement sources such as computer data bases,
spreadsheets, and programs, and literature files. Define acceptance criteria for the
use of such data in the project. Discuss any limitations on the use of the data
resulting from uncertainty in its quality and from the impact of adding more error
to the results.
BIO	Data Management
Describe the project data management scheme, tracing the path of the data from
their generation in the field or laboratory to their final use or storage Describe or
reference the standard record-keeping procedures, document control system, and
the approach used for data storage and retrieval on electronic media. Discuss the
control mechanism for detecting and correcting errors and for preventing loss of
data during data reduction (i e, calculations), data reporting, and data entry to
forms, reports, and databases. Provide examples of any forms or checklists to be
used.
Identify and describe all data handling equipment and procedures to process,
compile, and analyze the data. This includes procedures for addressing data
generated as part of the project as well as data from other sources. Include any
required computer hardware and software and address any specific performance
requirements for the hardware/software configuration used. Describe the proce-
dures that will be followed to demonstrate acceptability of the hard ware/software
configuration required.
GROUP C ASSESSMENT/OVERSIGHT	
This group of QAPP dements addresses the activities for assessing the effectiveness of
the implementation of the project and associated QA/QC. The purpose of assessment is to
ensure that the QAPP is implemented as prescribed. The elements are:
CI	Assessments and Response Actions
C2	Reports to Management
CI	Assessments and Response Actions
Identify the number, frequency, and type of assessment activities needed for this
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project. Assessments include, but are not limited to, the following
•	surveillance,
•	peer review,
•	management systems review,
•	readiness review,
•	technical systems audit,
•	performance evaluation,
•	audit of data quality, and
•	data quality assessment.
List and describe the assessments to be used in the project. Discuss the informa-
tion expected and the success criteria (i.e., goals, performance objectives, accep-
tance criteria specifications, etc) for each assessment proposed List the approxi-
mate schedule of activities For any planned self-assessments (utilizing personnel
from within the project groups), identify the participants and their exact relation-
ship within the project organization. For independent assessments, identify the
organization and person(s) that will perform the assessments. Describe how and
to whom the results of the assessments will be reported.
Define the authorities of the assessors. For example, if the assessors should order
a work suspension upon finding a significant condition, this section delineates
clearly their authority to do so. Define explicitly the unsatisfactory conditions
under which the assessors are authorized to act. Recognizing that assessments
may be needed at any time during the project, provide a schedule for the assess-
ments to be performed.
Discuss how response actions to non-conforming conditions will be addressed and
by whom. Identify who is responsible for implementing the response action
Describe how response actions will be verified, validated, and documented
C2	Reports to Management
Identify the frequency and distribution of reports issued to inform management of
the following:
•	status of the project;
•	results of performance evaluations and system audits;
•	results of periodic data quality assessments; and
•	significant quality assurance problems and recommended solutions
Identify the preparer and the recipients of the reports.
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GROUP D DATA VALIDATION AND USABILITY
This group of QAPP elements covers the QA activities that occur after the data collection
phase of the project is completed Implementation of these elements determines whether or not
the data conform to the specified criteria, thus satisfying the project objectives The elements
are
D1	Data Review, Validation, and Verification Requirements
D2	Validation and Verification Methods
D3	Reconciliation with User Requirements
D1	Data Review, Validation, and Verification Requirements
State the criteria used to review and validate - that is, accept, reject, or qualify -
data, in an objective and consistent manner. Identify necessary project-specific
calculations or algorithms for this activity.
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 life cycle of the project or task Discuss
how issues shall be resolved and the authorities for resolving such issues
Describe how the results are conveyed to data users.
D3	Reconciliation With User Requirements
Describe how the results obtained from the project or task will be reconciled with
the results of the DQO Process. Describe how issues will be resolved and discuss
how limitations on the use of the data will be reported to decision makers
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CHAPTER IV
QAPP IMPLEMENTATION
The QAPP is the blueprint for environmental data operations. The approved QAPP must
be implemented as prescribed; however, it is not inflexible. When conditions or requirements
change during environmental data operations, the QAPP must be revised then reviewed and
approved in the same manner as the original QAPP.
Under EPA policy, no environmental data operations may begin to collect data before the
QAPP has been approved by authorized EPA personnel or other persons to whom this authority
has been specifically delegated. This applies to work performed intramurally by EPA staff and
extramurally by contractors and assistance agreement holders.
Specific guidance for preparing, reviewing, and approving QAPPs may be found in a
companion document, EPA QA/G-5, Guidance for Quality Assurance Project Plans (Ref 8)
The guidance document applies the QAPP requirements given in this document for the planning,
implementation, and assessment of environmental data operations and links the QAPP require-
ments to the DQO process. The guidance provides examples of issues and situations typically
encountered when planning data collection activities.
Other guidance documents that are related to the QAPP include:
•	EPA QA/G-4, Guidance for the Data Quality Objectives Process, and
•	EPA QA/G-9, Guidance for the Data Quality Assessment Process (Ref 9)
These documents provide guidance on activities critical to successful environmental data
operations and complement the QAPP preparation effort.
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REFERENCES
1	EPA Order 5360 1, Policy and Program Requirements to Implement the Mandatory
Quality Assurance Program, U S Environmental Protection Agency, Washington, DC
(April 1984)
2	48 CFR Chapter 15, Subpart 1546 2, "Contract Quality Requirements "
3	40 CFR Chapter 1, Part 30, "General Regulation for Assistance Programs for Other Than
State and Local Governments "
4	40 CFR Chapter 1, Part 31, "Uniform Administrative Requirements for Grants and
Cooperative Agreement to State and Local Governments."
5	ISO 8402-1994, Quality Management and Quality Assurance - Vocabulary (April 1994)
6	QAMS-005/80, Interim Guidelines and Specifications for Preparing Quality Assurance
Project Plans, U S EPA (December 1980).
7	. Guidance for the Data Quality Objectives Process, EPA QA/G-4, U S EPA (August
1994)
8	Guidance for Quality Assurance Project Plans, EPA QA/G-5 (IN PROCESS)
9	Guidance for the Data Quality Assessment Process, EPA QA/G-9 (IN PROCESS)
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APPENDIX A
CROSSWALK BETWEEN
EPA QA/R-5 AND QAMS-005/80
OAMS-QOS/80 ELEMENTS
I	0 Title Page with Provision
for Approval Signatures
2.0 Table of Contents
3	0 Project Description
4	0 Project Organization
and Responsibility
5	0 QA Objectives for
Measurement Data (PARCC)
6	0 Sampling Procedures
7	0 Sample Custody
8	0 Calibration Procedures
and Frequency
9	0 Analytical Procedures
10	0 Data Reduction, Validation,
and Reporting
II	0 Internal Quality Control
Checks and Frequency
OA/R-S ELEMENTS
\
A1 Title and Approval Sheet
A2 Table of Contents
A5 Problem Definition/Background
A6 Project/Task Description
A4 Project/Task Organization
A7 Quality Objectives and Criteria for
Measurement Data
B1 Sampling Process Design
B2 Sampling Methods Requirements
B3 Sample Handling and Custody Re-
quirements
B7 Instrument Calibration and
Frequency
B4 Analytical Methods Requirements
D1 Data Review, Validation, and
Verification Requirements
D2 Validation and Verification
Methods
BS Quality Control Requirements
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APPENDIX A
CROSSWALK BETWEEN
EPA QA/R-5 AND QAMS-005/80 contd.
QAMS-QQ5/8Q ELEMENTS
12 0 Performance and Systems
Audits
CI Assessments and Response
Actions
13 0 Preventive Maintenance
Procedures and Schedules
14 0 Specific Routine Procedures
Used to Assess PARCC for
Measurement Parameters Involved
B6 Instrument/Equipment Testing,
Inspection, and Maintenance
Requirements
D3 Reconciliation with User
Requirements
15 0 Corrective Action
CI Assessments and Response
Actions
16 0 QA Reports to Management
C2 Reports to Management
(No Corresponding QAMS-005/80 Elements) A8 Project Narrative
A9 Special Training Requirements or
Certification
A10 Documentation and Records
B8 Inspection/Acceptance Requirements
for Supplies and Consumables
B9 Data Acquisition Requirements (Non-
direct Measurements)
B10 Data Quality Management
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APPENDIX B
TERMS AND DEFINITIONS
activity - an all-inclusive term describing a specific set of operations or related tasks to be
performed, either serially or in parallel (e g., research and development, field sampling,
analytical operations, equipment fabrication), that in total result in a product or service
assessment - the evaluation process used to measure the performance or effectiveness of a
system and its elements. As used here, assessment is an all-inclusive term used to denote any of
the following- audit, performance evaluation, management systems review, peer review,
inspection, or surveillance.
audit (quality) - a systematic and independent examination to determine whether quality
activities and related results comply with planned arrangements and whether these arrangements
are implemented effectively and are suitable to achieve objectives.
auditee - the organization being audited.
auditor - a person qualified to perform audits.
authenticate - the act of establishing an item as genuine, valid, or authoritative
bias - the systematic or persistent distortion of a measurement process which causes errors in
one direction (i e , the expected sample measurement is different from the sample's true value)
calibration - comparison of a measurement standard, instrument, or item with a standard or
instrument of higher accuracy to detect and quantify inaccuracies and to report or eliminate those
inaccuracies by adjustments.
chain of custody - an unbroken trail of accountability that ensures the physical security of
samples, data, and records.
characteristic - any property or attribute of a datum, item, process, or service that is distinct,
describable, and/or measurable.
comparability - a measure of the confidence with which one data set can be compared to
another
completeness - a measure of the amount of valid data obtained from a measurement system
compared to the amount that was expected to be obtained under correct, normal conditions
computer program - a sequence of instructions suitable for processing by a computer Process-
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ing may include the use of an assembler, a compiler, an interpreter, or a translator to prepare the
program for execution. A computer program may be stored on magnetic media, and be referred
to as "software," or may be stored permanently on computer chips, and be referred to as
"firmware " Computer programs covered by this Standard are those used for design analysis,
data acquisition, data reduction, data storage (data bases), operation or control, and data base or
document control registers when used as the controlled source of quality information
confidentiality procedure - a procedure used to protect confidential business information
(including proprietary data and personnel records) from unauthorized access.
configuration - the functional, physical, and procedural characteristics of an item, experiment,
or document.
conformance - an affirmative indication or judgement that a product or service has met the
requirements of the relevant specifications, contract, or regulation; also the state of meeting the
requirements.
consensus standard - a standard established by a group representing a cross section of a
particular industry or trade, or a part thereof.
contractor - any organization or individual that contracts to furnish services or items or perform
work.
corrective action - measures taken to rectify conditions adverse to quality and, where possible,
to preclude their recurrence.
client - any individual or organization for whom items or services are furnished or work
performed in response to defined requirements and expectations. See also Participant and User
data of known quality - data that have the qualitative and quantitative components associated
with their derivation documented appropriately for their intended use, and when such documen-
tation is verifiable and defensible.
data quality assessment (DQA) - a statistical and scientific evaluation of the data set to
determine the validity and performance of the data collection design and statistical test, and to
determine the adequacy of the data set for its intended use.
data quality objectives (DQOs) - Qualitative and quantitative statements derived from the DQO
Process that clarify study technical and quality objectives, define the appropriate type of data,
and specify tolerable levels of potential decision errors that will be used as the basis for
establishing the quality and quantity of data needed to support decisions.
Data Quality Objectives Process - a systematic strategic planning tool based on the scientific
method that identifies and defines the type, quality, and quantity of data needed to satisfy a
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specified use. The key elements of the process include.
•	concisely defining the problem,
•	identifying the decision to be made,
•	identifying the key inputs to that decision,
•	defining the boundaries of the study,
•	developing the decision rule,
•	specifying tolerable limits on potential decision errors, and
•	selecting the most resource efficient data collection design.
Data quality objectives are the qualitative and quantitative outputs from the DQO Process The
DQO Process was developed originally by the U S. Environmental Pro lion Agency, but has
been adapted for use by other organizations to meet their specific planning requirements (See
also Graded Approach)
data usability - the process of ensuring or determining whether the quality of the data produced
meets the intended use of the data.
deficiency - an unauthorized deviation from acceptable procedures or practices, or a defect in an
item.
demonstrated capability - the capability to meet procurement technical and quality specifica-
tions through evidence presented by the supplier to substantiate its claims and in a manner
defined by the customer.
design - specifications, drawings, design criteria, and performance requirements Also the result
of deliberate planning, analysis, mathematical manipulations, and design processes
design change - any revision or alteration of the technical requirements defined by approved and
issued design output documents and approved and issued changes thereto.
design review - a documented evaluation by a team, including personnel such as the responsible
designers, the client for the work or product being designed, and a QA representative, but other
than the original designers, to determine if a proposed design will meet the established design
criteria and perform as expected when implemented.
document - any written or pictorial information describing, defining, specifying, reporting, or
certifying activities, requirements, procedures, or results.
entity - that which can be individually described and considered, such as a process, product,
item, organization, or combination thereof.
environmental conditions - the description of a physical medium (e g., air, water, soil,
sediment) or biological system expressed in terms of its physical, chemical, radiological, or
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biological characteristics.
environmental data - any parameters or pieces of information collected or produced from
measurements, analyses, or models of environmental processes, conditions, and effects of
pollutants on human health and the ecology, including results from laboratory analyses or from
experimental systems representing such processes and conditions
environmental data operations - work performed to obtain, use, or report information
pertaining to environmental processes and conditions.
environmental monitoring - the process of measuring or collecting environmental data.
environmental processes - manufactured or natural processes that produce discharges to or that
impact the ambient environment.
environmental programs - an all-inclusive term pertaining to any work or activities involving
the environment, including but not limited to characterization of environmental processes and
conditions, environmental monitoring, environmental research and development, the design,
construction, and operation of environmental technologies, and laboratory operations on
environmental samples.
environmental technology - an all-inclusive term used to describe pollution control devices and
systems, waste treatment processes and storage facilities, and site remediation technologies and
their components that may be utilized to remove pollutants or contaminants from or prevent
them from entering the environment. Examples include wet scrubbers (air), soil washing (soil),
granulated activated carbon unit (water), and filtration (air, water). Usually, this term will apply
to hardware-based systems; however, it will also apply to methods or techniques used for
pollution prevention, pollutant reduction, or containment of contamination to prevent further
movement of the contaminants, such as capping, solidification or vitrification, and biological
treatment.
evidentiary records - records identified as part of litigation and subject to restricted access,
custody, use, and disposal.
expedited change - an abbreviated method of revising a document at the work location where
the document is used when the normal change process would cause unnecessary or intolerable
delay in the work.
financial assistance - the process by which funds are provided by one organization (usually
government) to another organization for the purpose of performing work or furnishing services
or items Financial assistance mechanisms include grants, cooperative agreements, and
government interagency agreements.
finding - an assessment conclusion that identifies a condition having a significant effect on an
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item or activity An assessment finding may be positive or negative, and is normally accompa-
nied by specific examples of the observed condition
grade - the category or rank given to entities having the same functional use but different
requirements for quality.
graded approach - the process of basing the level of application of managerial controls applied
to an item or work according to the intended use of the results and the degree of confidence
needed in the quality of the results. (See Data Quality Objectives Process)
guideline - a suggested practice that is non-mandatory in programs intended to comply with a
standard.
hazardous waste • any waste material that satisfies the definition of "hazardous waste" as given
in 40 CFR Part 261, "Identification and Listing of Hazardous Waste."
independent assessment - an assessment performed by a qualified individual, group, or
organization that is not a part of the organization directly performing and accountable for the
work being assessed.
inspection - examination or measurement of an item or activity to verify conformance to specific
requirements.
item - an all-inclusive term used in place of the following: appurtenance, facility, sample,
assembly, component, equipment, material, module, p product, structure, subassembly,
subsystem, system, unit, documented concepts, or data.
management - those individuals directly responsible and accountable for planning, implement-
ing, and assessing work.
management system - a structured non-technical system describing the policies, objectives,
principles, organizational authority, responsibilities, accountability, and implementation plan of
an organization for conducting work and producing items and services.
Management Systems Review (MSR) - the qualitative assessment of a data collection operation
and/or organizations) to establish whether the prevailing quality management structure, policies,
practices, and procedures are adequate for ensuring that the type and quality of data needed are
obtained.
may - denotes permission but not a requirement.
measurement and testing equipment (M&TE) - tools, . augea, instruments, sampling devices
or systems used to calibrate, measure, test, or inspect in order to control or acquire data to verify
conformance to specified requirements.
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method - a body of procedures and techniques for performing an activity (e g , sampling,
chemical analysis, quantification) systematically presented in the order in which they are to be
executed.
mixed waste - hazardous waste material as defined by 40 CFR 261 (RCRA) and mixed with
radioactive waste subject to the requirements of the Atomic Energy Act.
must - denotes a requirement that has to be met.
nonconformance - a deficiency in characteristic, documentation, or procedure that renders the
quality of an item or activity unacceptable or indeterminate; nonfulfillment of a specified
requirement
objective evidence - any documented statement of fact, other information, or record, either
quantitative or qualitative, pertaining to the quality of an item or activity, based on observations,
measurements, or tests which can be verified.
observation - an assessment conclusion that identifies a condition (either positive or negauve)
which does not represent a significant impact on an item or activity An observation may
identify a condition which does not yet cause a degradation of quality.
organization - a company, corporation, firm, enterprise, or institution, or part thereof, whether
incorporated or not, public or private, that has its own functions and administration.
organization structure - the responsibilities, authorities, and relationships, arranged in a
pattern, through which an organization performs its functions.
participant - when used in the context of environmental programs, an organization, group, or
individual that takes part in the planning and design process and provides special knowledge or
skills to enable the planning and design process to meet its objective.
peer review - a documented critical review of work generally beyond the state of the art or
characterized by the existence of potential uncertainty. The peer review is conducted by
qualified individuals (or organization) who are independent of those who performed the work,
but are collectively equivalent in technical expertise (i e., peers) to those who performed the
original work. The peer review is conducted to ensure that activities are technically adequate,
competently performed, properly documented, and satisfy established technical and quality
requirements. The peer review is an in-depth assessment of the assumptions, calculations,
extrapolations, alternate interpretations, methodology, acceptance criteria, and conclusions
pertaining to specific work and of the documentation that supports them. Peer reviews provide
an evaluation of a subject where quantitative methods of analysis or measures of success are
unavailable or undefined, such as in research and development.
performance evaluation (PE) - a type of audit in which the quantitative data generated in a
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measurement system are obtained independently and compared with routinely obtained data to
evaluate the proficiency of an analyst or laboratory
pollution prevention (P2) - an organized, comprehensive effort to systematically reduce or
eliminate pollutants or contaminants prior to their generation or their release or discharge to the
environment.
precision - a measure of mutual agreement among individual measurements of the same
property, usually under prescribed similar conditions, expressed generally in terms of the
standard deviation.
procedure - a specified way to perform an activity.
process - a set of interrelated resources and activities which transforms inputs into outputs
Examples of processes include analysis, design, data collection, operation, fabrication, and
calculation.
project - an organized set of activities within a program.
qualified data - any data that have been modified or adjusted as part of statistical or mathemati-
cal evaluation, data validation, or data verification operations.
qualified services - an indication that suppliers providing services have been evaluated and
determined to meet the technical and quality requirements of the client as provided by approved
procurement documents and demonstrated by the supplier to the client's satisfaction
quality - the totality of features and characteristics of a product or service that bear on its ability
to meet the stated or implied needs and expectations of the user.
quality assurance (QA) - an integrated system of management activities involving planning,
implementation, assessment, reporting, and quality improvement to ensure that a process, item,
or service is of the type and quality needed and expected by the client.
quality assurance program description/plan - see quality management plan
quality assurance project plan (QAPP) - a formal document describing in comprehensive
detail the necessary QA, QC, and other technical activities that must be implemented to ensure
that the results of the work performed will satisfy the stated performance criteria.
quality control (QC) - the overall system of technical activities that measures the attributes and
performance of a process, item, or service against defined standards to verify that they meet the
stated requirements established by the customer, operational techniques and activities that are
used to fUlfill requirements for quality
quality improvement - a management program for improving the quality of operations. Such
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management programs generally entail a formal mechanism for encouraging worker
recommendations with timely management evaluation and feedback or implementation
quality indicators - measurable attributes of the attainment of the necessary quality for a
particular environmental decision. Indicators of quality include precision, bias, completeness,
representativeness, reproducibility, comparability, and statistical confidence
quality management - that aspect of the overall management system of the organization that
determines and implements the quality policy Quality management includes strategic planning,
allocation of resources, and other systematic activities (e g , planning, implementation, and
assessment) pertaining to the quality system
quality management plan (QMP) - a formal document that describes the quality system in
terms of the organizational structure, functional responsibilities of management and staff, lines
of authority, and required interfaces for those planning, implementing, and assessing all
activities conducted.
quality system - a structured and documented management system describing the policies,
objectives, principles, organizational authority, responsibilities, accountability, and implementa-
tion plan of an organization for ensuring quality in its work processes, products (items), and
services. The quality system provides the framework for planning, implementing, and assessing
work performed by the organization and for carrying out required QA and QC
radioactive waste - waste material containing radionuclides, or contaminated by radionuclides,
subject to the requirements of the Atomic Energy Act.
readiness review - a systematic, documented review of the readiness for the start-up or
continued use of a facility, process, or activity. Readiness reviews are typically conducted
before proceeding beyond project milestones and prior to initiation of a major phase of work
record (quality) - a document that furnishes objective evidence of the quality of items or
activities and that has been verified and authenticated as technically complete and correct
Records may include photographs, drawings, magnetic tape, and other data recording media.
remediation - the process of reducing the concentration of a contaminant (or contaminants) in
air, water, or soil media to a level that poses an acceptable risk to human health.
representativeness - a measure of the degree to which data accurately and precisely represent a
characteristic of a population, parameter variations at a sampling point, a process condition, or
an environmental condition.
reproducibility - the precision, usually expressed as variance, that measures the variability
among the results of measurements of the same sample at different laboratories
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research (applied) - a process, the objective of which is to gain knowledge or understanding
necessary for determining the means by which a recognized and specific need may be met
research (basic) - a process, the objective of which is to gain fuller knowledge or understanding
of the fundamental aspects of phenomena and of observable facts without specific applications
toward processes or products in mind.
research development/demonstration - Systematic use of the knowledge and understanding
gained from research and directed toward the production of useful materials, devices, systems, or
methods, including prototypes and processes.
scientific method - the principles and processes regarded as necessary for scientific investiga-
tion, including rules for concept or hypothesis formulation, conduct of experiments, and
validation of hypotheses by analysis of observations.
self-assessment - Assessments of work conducted by individuals, groups, or organizations
directly responsible for overseeing and/or performing the work.
service - the result generated by activities at the interface between the supplier and the customer,
and by supplier internal activities to meet customer needs. Such activities in environmental
programs include design, inspection, laboratory and /or field analysis, repair, and installation.
shall - denotes a requirement that is mandatory whenever the criterion for conformance with the
specification requires that there be no deviation. This does not prohibit the use of alternative
approaches or methods for implementing the specification so long as the requirement is fulfilled
should - denotes a guideline or recommendation whenever noncompliance with the specification
is permissible.
significant condition - any state, status, incident, or situation of an environmental process or
condition, or environmental technology in which the work being performed will be adversely
affected sufficiently to require corrective action to satisfy quality objectives or specifications and
safety requirements.
specification - a document stating requirements and which refers to or includes drawings or
other relevant documents. Specifications should indicate the means and the cntena for determin-
ing conformance.
software life cycle - the period of time that starts when a software product is conceived and ends
when the software product is no longer available for routine use. The software life cycle
typically includes a requirements phase, a design phase, an implementation phase, a test phase,
an installation and check-out phase, an operation and maintenance phase, and sometimes a
retirement phase.
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source reduction
or pollutants
any practice that reduces the quantity of hazardous substances, contaminants,
standard operating procedure (SOP) - a written document that details the method for an
operation, analysis, or action with thoroughly prescribed techniques and steps, and that is
officially approved as the method for performing certain routine or repetitive tasks
supplier - any individual or organization furnishing items or services or performing work
according to a procurement document or financial assistance agreement. This is an all-inclusive
term used in place of any of the following: vendor, seller, contractor, subcontractor, fabricator,
or consultant
surveillance (quality) - continual or frequent monitoring and verification of the status of an
entity and the analysis of records to ensure that specified requirements are being fulfilled.
technical review - a documented critical review of work that has been performed within the state
of the art. The review is accomplished by one or more qualified reviewers who are independent
of those who performed the work, but are collectively equivalent in technical expertise to those
who performed the original work. The review is an in-depth analysis and evaluation of
documents, activities, material, data, or items that require technical verification or validation for
applicability, correctness, adequacy, completeness, and assurance that established requirements
are satisfied.
technical systems audit (TSA) - a thorough, systematic, on-site, qualitative audit of facilities,
equipment, personnel, training, procedures, recordkeeping, data validation, data management,
and reporting aspects of a system.
Total Quality Management (TQM) - the process of applying quality management to all
activities of the organization, including technical and administrative operations. See Quality
Management and Quality System.
traceability - the ability to trace the history, application, or location of an entity by means of
recorded identifications. In a calibration sense, traceability relates measuring equipment to
national or international standards, primary standards, basic physical constants or properties, or
reference materials. In a data collection sense, it relates calculations and data generated
throughout the project back to the requirements for quality for the project.
user - when used in the context of environmental programs, an organisation, group, or individual
that utilizes the results or products from environmental programs. A user may also be the client
for whom the results or products were collected or created.
validation - confirmation by examination and provision of objective evidence that the particular
requirements for a specific intended use are fulfilled. In design and development, validation
concerns the process of examining a product or result to determine conformance to user needs
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verification - confirmation by examination and provision of objective evidence that specified
requirements have been fulfilled. In design and development, validation concerns the process of
examining a result of a given activity to determine conformance to the stated requirements for
that activity
work - the process of performing a defined task or activity (e g., research and development, field
sampling, analytical operations, equipment fabrication).
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