Quality Planning for the Life Science Researcher: Meeting Quality Assurance Requirements

Quality Planning for the Life Science Researcher: Meeting Quality Assurance Requirements

by Amy Cross-Smiecinski, Linda D. Stetzenbach, A. Cross-Smiecinski
     
 

Quality Planning for the Life Science Researcher is a hands-on book that addresses quality assurance (QA) in the life science laboratory. This practical book addresses QA requirements common to many government and private funding agencies. It offers real-world examples and illustrates ways of implementing and achieving QA requirements for funding. The book is

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Overview

Quality Planning for the Life Science Researcher is a hands-on book that addresses quality assurance (QA) in the life science laboratory. This practical book addresses QA requirements common to many government and private funding agencies. It offers real-world examples and illustrates ways of implementing and achieving QA requirements for funding. The book is replete with suggested forms, models, and systems to meet QA requirements. Topics covered include QA plans, quality objectives, sampling procedures, measurement methods, audits and assessments, and preventive maintenance. After reading this book, researchers will understand the principles of QA as they apply to the life sciences and be able to plan a study that will meet most QA programs' requirements.

Product Details

ISBN-13:
9780849386930
Publisher:
Taylor & Francis
Publication date:
03/08/1994
Pages:
128
Product dimensions:
0.61(w) x 0.92(h) x 0.50(d)

Table of Contents

Introduction:
QA Plans.
Planning Research-The QA Project Plan.
Formatting.
Document Control.
QA Plan Revisions.
References.
The QA Plan as a Tool.
Seventeen QA Plan Elements.
Element Descriptions:
Project Description.
Project Organization and Responsibilities.
Quality Objectives.
Site Selection and Sampling Procedures.
Sample Custody.
Calibration Procedures and Frequency.
Measurement Methods.
Data Reduction, Verification, Validation, and Reporting.
Computer Software.
Quality Control Requirements.
Audits and Assessments.
Preventive Maintenance.
Calculation of Data Quality Indicators.
Corrective Action.
QA/QC Reports to Management.
Glossary.
References.
Index.

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