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A framework for analysis of data quality research

机译：数据质量研究分析框架

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摘要

Organizational databases are pervaded with data of poor quality. However, there has not been an analysis of the data quality literature that provides an overall understanding of the state-of-art research in this area. Using an analogy between product manufacturing and data manufacturing, this paper develops a framework for analyzing data quality research, and uses it as the basis for organizing the data quality literature. This framework consists of seven elements: management responsibilities, operation and assurance costs, research and development, production, distribution, personnel management, and legal function. The analysis reveals that most research efforts focus on operation and assurance costs, research and development, and production of data products. Unexplored research topics and unresolved issues are identified and directions for future research provided.
机译：组织数据库中充斥着质量较差的数据。但是，还没有对数据质量文献的分析提供对这一领域最新研究的全面理解。本文使用产品制造和数据制造之间的类比，开发了一个分析数据质量研究的框架，并将其用作组织数据质量文献的基础。该框架由七个要素组成：管理职责，运营和保证成本，研发，生产，分配，人员管理和法律职能。分析表明，大多数研究工作都集中在运营和保证成本，研发和数据产品生产上。确定未探索的研究主题和未解决的问题，并提供未来研究的方向。

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