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Towards a Contextual Approach to Data Quality

机译:朝着数据质量的语境方法

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In this commentary, I propose a framework for thinking about data quality in the context of scientific research. I start by analyzing conceptualizations of quality as a property of information, evidence and data and reviewing research in the philosophy of information, the philosophy of science and the philosophy of biomedicine. I identify a push for purpose dependency as one of the main results of this review. On this basis, I present a contextual approach to data quality in scientific research, whereby the quality of a dataset is dependent on the context of use of the dataset as much as the dataset itself. I exemplify the approach by discussing current critiques and debates of scientific quality, thus showcasing how data quality can be approached contextually.
机译:在这方面,我提出了一个框架,用于在科学研究背景下思考数据质量。我首先分析质量的概念化作为信息,证据和数据的财产,审查信息哲学的研究,科学哲学以及生物医学的哲学。我确定了一个目的依赖的推动,作为本次审查的主要结果之一。在此基础上,我介绍了科学研究中数据质量的语境方法,由此数据集的质量取决于数据集的使用范围,与数据集本身一样多。我通过讨论当前批评和科学质量的辩论来举例说明这种方法,从而展示了如何上下文可以接近数据质量。

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