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U.S. Department of Energy
Office of Scientific and Technical Information

A programmatic approach to achieving data quality objectives

Conference ·
OSTI ID:6312922
The US Environmental Protection Agency (EPA) requires that all EPA-sponsored programs follow the Quality Assurance (QA) Plan preparation guidelines of the QAMS-005/80, ''Guidelines and Specifications for Preparing Quality Assurance Project Plans.'' The QAMS-005/80 format requires the preparer of the QA Project Plan to develop a set of ''objectives for measurement data in terms of precision, accuracy, completeness, representativeness and comparability,'' better known as Data Quality Objectives (DQOs). ''Data Quality Objectives (DQOs) are quantitative and qualitative statements describing the quality of data needed to support a specific environmental decision or action'' (RQAMO 1988). Usually expressed in terms of precision, accuracy, completeness, representativeness, and comparability, DQOs ''are the attributes of the data produced that make it suitable for reiterating into the decision making and planning process and provide for defensibility if challenged either in litigation or as to professional credibility.'' 4 refs.
Research Organization:
Pacific Northwest Lab., Richland, WA (USA)
DOE Contract Number:
AC06-76RL01830
OSTI ID:
6312922
Report Number(s):
PNL-SA-16579; CONF-890284-1; ON: DE89008248
Country of Publication:
United States
Language:
English