期刊论文详细信息
Data Science Journal
Automated Quality Evaluation for a More Effective Data Peer Review
A Hense1  A Düsterhus2 
[1]Meteorological Institute, University of Bonn
[2]National Oceanography Centre
关键词: Data peer review;    Data publication;    Quality evaluation;    Statistical quality assurance;    Meteorological data;   
DOI  :  10.2481/dsj.14-009
学科分类:计算机科学(综合)
来源: Ubiquity Press Ltd.
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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.
【 授权许可】

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