The importance of context in data quality (DQ) was shown many years ago and nowadays is widely accepted. Early approaches and surveys defined DQ as \textit{fitness for use} and showed the influence of context on DQ. This paper presents a Systematic Literature Review (SLR) for investigating how context is taken into account in recent proposals for DQ management. We specifically present the planning and execution of the SLR, the analysis criteria and our results reflecting the relationship between context and DQ in the state of the art and, particularly, how that context is defined and used for DQ management.
翻译:早期方法和调查将数据质量定义为\textit{适合使用}并显示了对数据质量的影响。本文件介绍了一个系统文学评论(SLR),用于调查最近关于数据质量管理的建议如何考虑到背景。我们特别介绍了数据质量的规划与实施、分析标准和我们的结果,这些分析标准和结果反映了环境与数据质量在最新水平上的关系,特别是该背景如何界定和用于数据质量管理。