GB/Z 27429-2022

Active

Guide to evaluation of laboratory research data uncertainty

实验室科研数据不确定性评估指南

Standard Type
GBZ
ICS
03.120.30
CCS
A40
Status
Active
Issue Date
2022-10-12
Implementation
N/A
Centralized Committee
国家标准委
Issuing Authority
国家市场监督管理总局、国家标准化管理委员会

Application Summary AI generated

This standard provides a framework for assessing and expressing the uncertainty of research data generated in laboratory settings, specifically within scientific research and development contexts. It is applied by research institutions, testing laboratories, and universities to quantify the reliability of experimental results, ensuring data comparability and reproducibility in fields like materials science, chemistry, and biology. The guide supports quality control in non-regulatory research environments where formal measurement uncertainty methods may not be fully established.

Related Standards

GB/T 2828.1-2012 Sampling procedures for inspection by attributes — Part 1: Sampling schemes indexed by acceptance quality limit (AQL) for lot-by-lot inspection GB/T 19004-2011 Managing for the sustained success of an organization — Quality management approach GB/T 19011-2013 Guidelines for auditing management systems GB/T 19000-2008/ISO 9000:2005 Quality management systems - Fundamentals and vocabulary GB/T 2828.1-2003 Sampling procedures for inspection by attributes--Part 1: Sampling schemes indexed by acceptance quality limit(AQL) for lot-by-lot inspection GB/T 19022-2003 Measurement management systems--Requirements for measurement processes and measuring equipment GB/T 6379.2-2004 Accuracy(trueness and precision)of measurement methods and results--Part 2:Basic method for the determination of repeatability and reproducibility of a standard measurement method GB/T 6379.1-2004 Accuracy(trueness and precision)of measurement methods and results--Part 1:General principles and definitions
Transparency note: The application summary and key sentences on this page were automatically generated by AI from the standard's original text. This content has not been human-verified and should not be used for compliance or regulatory purposes. Always refer to the official standard document from the issuing authority.