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Automated Quality Evaluation for a More Effective Data Peer Review Cover

Automated Quality Evaluation for a More Effective Data Peer Review

By: A Düsterhus and  Hense A  
Open Access
|Jun 2014

Abstract

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.
DOI: https://doi.org/10.2481/dsj.14-009 | Journal eISSN: 1683-1470
Language: English
Published on: Jun 5, 2014
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2014 A Düsterhus, Hense A, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.