title: [Informatics data quality and management].
abstract: While the quality of data affects every aspect of business, it is frequently overlooked in terms of customer data integration, data warehousing, business intelligence and enterprise applications. Regardless of which data terms are used, a high level of data quality is a critical base condition essential to satisfy user needs and facilitate the development of effective applications. In this paper, the author introduces methods, a management framework and the major factors involved in data quality assessment. Author also integrates expert opinions to develop data quality assessment tools.
authors.affiliation: Institute of Biomedical informatics, National Yang-Ming University, ROC. rcfeng@vghtpe.gov.tw
authors.forename: Rung-Chuang
authors.initials: RC
authors.lastname: Feng
mesh_terms: D003628:Database Management Systems / Q000458:organization & administration; D006801:Humans; D048088:Informatics / Q000592:standards*