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.
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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.
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Evans, Robert P.Planning for Quality Data,
article,
May 1, 2005;
[Idaho Falls, Idaho].
(digital.library.unt.edu/ark:/67531/metadc885768/:
accessed July 20, 2018),
University of North Texas Libraries, Digital Library, digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
