Developing a metadata data model for the National Health and Nutrition Examination Survey (NHANES). 2003

Lewis E Berman, and Allan L Fisher, and Leighton Evans, and Timothy Tilert
Centers for Disease Control and Prevention, Hyattsville, MD, USA.

The National Health and Nutrition Examination Survey (NHANES), developed by the Centers for Disease Control and Prevention (CDC), is a large and comprehensive health survey utilizing leading edge technologies to produce national estimates of health measures and the nutritional status of the U.S. population. Early NHANES metadata models grouped data by categories with little specificity and often not capturing the complexity of the survey. Subsequently, existing models at the Census Bureau, CDC, and the EPA were evaluated in addition to industry standards, such as DDI, Dublin Core, and ISO 1179. For the NHANES metadata model, the DDI standard and CDC Public Health Conceptual Model were chosen as the backbone for constructing the data model. The new model has led to increased data accuracy and several value-added products for producing codebooks, automatically checking questionnaire skip patterns, and producing questionnaire instrumentation.

UI MeSH Term Description Entries
D009749 Nutrition Surveys A systematic collection of factual data pertaining to the nutritional status of a human population within a given geographic area. Data from these surveys are used in preparing NUTRITION ASSESSMENTS. NHANES,National Health and Nutrition Examination Survey,Nutritional Surveys,Nutrition Survey,Nutritional Survey,Survey, Nutrition,Survey, Nutritional,Surveys, Nutrition,Surveys, Nutritional
D002377 Catalogs as Topic Works about ordered compilations of item descriptions and sufficient information to afford access to them. Catalogs as Topics,Topic, Catalogs as,Topics, Catalogs as,as Topic, Catalogs,as Topics, Catalogs
D014481 United States A country in NORTH AMERICA between CANADA and MEXICO.
D016208 Databases, Factual Extensive collections, reputedly complete, of facts and data garnered from material of a specialized subject area and made available for analysis and application. The collection can be automated by various contemporary methods for retrieval. The concept should be differentiated from DATABASES, BIBLIOGRAPHIC which is restricted to collections of bibliographic references. Databanks, Factual,Data Banks, Factual,Data Bases, Factual,Data Bank, Factual,Data Base, Factual,Databank, Factual,Database, Factual,Factual Data Bank,Factual Data Banks,Factual Data Base,Factual Data Bases,Factual Databank,Factual Databanks,Factual Database,Factual Databases

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