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1030 Data Quality

1030 Data Quality

Approved by SM Committee: N/A

[R] - Revised

This product has been archived, and is no longer available for purchase.


The role of the analytical laboratory is to produce measurement-based information that is technically valid, legally defensible, and of known quality. Quality assurance (QA) is aimed at optimizing the reliability of the measurement process. All measurements contain error, which may be systematic (with an unvarying magnitude) or random (with equal probability of being positive or negative and varying in magnitude). Determination of the systematic and random error components of an analytical method uniquely defines the analytical performance of that method. Quality control (QC) procedures identify and control these sources of error. Topics include: measurement uncertainty (1030B); method detection level (1030C); data quality objectives (1030D); and, checking correctness of analyses (1030E).


[E] [R] [N] Product
       A. Introduction
       B. Measurement of Uncertainty
  [R]    C. Method Detection Level
  [R]    D. Data Quality Objectives
       E. Checking Correctness of Analyses