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Automated Quality Evaluation for a More Effective Data Peer Review

机译:自动化质量评估,以更有效地进行数据同行评审

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摘要

References(22) A peer review scheme comparable to that used in traditional scientific journals is a major element missing in bringing publications of raw data up to standards equivalent to those of traditional publications. This paper introduces a quality evaluation process designed to analyse the technical quality as well as the content of a dataset. This process is based on quality tests, the results of which are evaluated with the help of the knowledge of an expert. As a result, the quality is estimated by a single value only. Further, the paper includes an application and a critical discussion on the potential for success, the possible introduction of the process into data centres, and practical implications of the scheme.
机译:参考文献(22)与传统科学期刊所使用的同行评审方案相比,同行评审方案是使原始数据的出版物达到与传统出版物相同的标准所缺少的主要要素。本文介绍了旨在评估技术质量以及数据集内容的质量评估过程。此过程基于质量测试,其结果将在专家的知识帮助下进行评估。结果,仅通过单个值来估计质量。此外,本文还包括有关成功潜力,将流程引入数据中心的可能性以及该计划的实际意义的应用程序和重要讨论。

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