How good are my data?: Information quality assessment methodology.

J. C. Worthington, G. Brilis
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引用次数: 4

Abstract

Quality assurance techniques used in software development and hardware maintenance/reliability help ensure that data in a computerized information management system are maintained well. However, information workers may not know the quality of data resident in their information systems. Knowledge of the quality of information and data in an enterprise provides managers with important facts for managing and improving the processes that impact information quality. This paper presents quality assessment methodology to assist information workers in planning and implementing an effective assessment of their information data and quality. The areas covered include: identifying appropriate information quality indicators; developing assessment procedures; conducting information quality assessments; reporting information assessment results; tracking improvements in information quality.
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我的数据有多好?:信息质量评估方法。
在软件开发和硬件维护/可靠性方面使用的质量保证技术有助于确保计算机信息管理系统中的数据得到良好的维护。然而,信息工作者可能不知道驻留在他们的信息系统中的数据的质量。企业中信息和数据质量的知识为管理人员提供了管理和改进影响信息质量的过程的重要事实。本文提出了质量评估方法,以帮助信息工作者规划和实施对其信息数据和质量的有效评估。所涉及的领域包括:确定适当的信息质量指标;制定评估程序;进行资讯质素评估;报告信息评估结果;跟踪信息质量的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Data and metadata reporting standards for the U.S. Environmental Protection Agency's PM Supersites Research Program. Data and information quality strategic plan. How good are my data?: Information quality assessment methodology. The quality management system as a tool for improving stakeholder confidence. Two data bases in every garage: information quality systems.
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