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A Review of Data Quality Assessment: Data Quality Dimensions from User’s Perspective

机译:数据质量评估综述:用户透视的数据质量尺寸

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摘要

High quality data is an important asset in numerous business and organizations. The quality of data, i.e., the ability of data to meet user requirement can have a tremendous impact in an organization to develop an astounding data quality satisfaction subsequently provide a better platformto achieve top service in organizations. The assessment of data quality dimensions must consider the degree to which data satisfy users’ needs. Data quality assessment although multi-dimensional but identical in most of the assessment structure. Therefore, it is important to developan assessment of data quality dimensions specifically to measure the degree of user’s satisfaction and judgement of the data to obtain a correct interpretation of data quality assessment result. This paper proposes a conceptual framework of data quality assessment from user’s perspectivethat draws the assessment specifically to measure user requirements and satisfactions. This framework can be evaluated and will be used to improve and extend knowledge of relationship between data quality dimensions and its assessment from user’s perspective.
机译:高质量数据是众多商业和组织中的重要资产。数据质量,即数据以满足用户要求的数据能力可能对组织产生巨大影响,以发展令人震惊的数据质量满意度随后在组织中实现更好的平台。数据质量维度的评估必须考虑数据满足用户需求的程度。数据质量评估虽然大多数评估结构中的多维但相同。因此,重要的是要专门为数据质量维度开发评估,以衡量用户的满意度和判断数据,以获得对数据质量评估结果的正确解释。本文提出了一个概念性的数据质量评估框架,从用户的透视中提取了评估,专门测量用户要求和满意度。该框架可以用于改进和扩展数据质量尺寸与用户的角度之间的关系的关系。

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