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.
Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.
Descriptive information to help identify this article.
Follow the links below to find similar items on the Digital Library.
Description
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.
This article is part of the following collection of related materials.
Office of Scientific & Technical Information Technical Reports
Reports, articles and other documents harvested from the Office of Scientific and Technical Information.
Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.
Evans, Robert P.Planning for Quality Data,
article,
May 1, 2005;
[Idaho Falls, Idaho].
(digital.library.unt.edu/ark:/67531/metadc885768/:
accessed February 22, 2019),
University of North Texas Libraries, Digital Library, digital.library.unt.edu;
crediting UNT Libraries Government Documents Department.
