Planning for Quality Data
Conference
·
OSTI ID:911739
The assurance of data quality can be a complex process requiring careful planning. The planning process described in this paper uses Data Quality Objectives as the foundation. The described process considers three steps: project requirement identification, definition of the information necessary to answer the questions, and data collection and management. Since sufficient levels of documentation are required at all levels, uncertainty analysis, traceability and custody, data maintenance, and data evaluation and review are also discussed.
- Research Organization:
- Idaho National Lab. (INL), Idaho Falls, ID (United States)
- Sponsoring Organization:
- INEEL
- DOE Contract Number:
- DE-AC07-99ID-13727
- OSTI ID:
- 911739
- Report Number(s):
- INL/CON-05-00065
- Resource Relation:
- Conference: 51st International Instrumentation Symposium,Knoxville, TN,05/09/2005,05/12/2005
- Country of Publication:
- United States
- Language:
- English
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