Document: NRC Regulatory Guide
Document ID: a5cfec96-8785-464b-ada8-dc4424b90606
Document Type: regulatory_guide
Title: Quality Assurance for Radiological Monitoring Programs
Source: NRC Regulatory Guide Division 4
Source URL: https://www.nrc.gov/docs/ML0630/ML063060429.pdf
Revision Date: 2023-06
Chapter: 
Section ID: RG-4.15
CFR Part: 
CFR Title: 

Content:
r the purpose of determining its radioactive constituents. See CALIBRATION SOURCE, CHECK SOURCE, and SOURCE, RADIOACTIVE. total effective dose equivalent: The sum of the effective dose equivalent (for external exposure) and the committed effective dose equivalent (for internal exposure), expressed in units of Sv or rem (MARSSIM). See DOSE EQUIVALENT. uncertainty: A parameter, usually associated with the result of a measurement, that characterizes the dispersion of the values that could reasonably be attributed to the measurement of interest (MARLAP, Chapter 19). validation: (1) Data validation, the evaluation of data to determine the presence or absence of an analyte and to establish the UNCERTAINTY of the measurement process for contaminants of concern. Data validation qualifies the usability of each datum (after interpreting the impacts of exceptions identified during data VERIFICATION) by comparing the data produced with the MEASUREMENT QUALITY OBJECTIVES and any other analytical process criteria contained in the ANALYTICAL PROTOCOL SPECIFICATIONS developed in the planning process. (2) Software validation, the confirmation by examination and provision of objective evidence that the particular criteria for a specific intended use are fulfilled. Validation for a system is the set of activities ensuring and gaining confidence that the system is able to accomplish its intended use, goals, and objectives (ISO/IEC 15288-2002). verification: (1) Data verification, a process that ensures that laboratory conditions and operations were compliant with the statement of work, sampling and analysis plan, and QUALITY ASSURANCE PROJECT PLAN and that identifies problems, if present, that should be investigated during data validation. Data verification compares the material delivered by the laboratory to these criteria (compliance) and checks for consistency and comparability of the data throughout the data package and for completeness of the results to ensure that all necessary