Data Editing
Data Editing is a methodological process in log quality control that systematically identifies, corrects, or removes inaccuracies, inconsistencies, or irrelevant entries within log data to ensure its reliability, completeness, and adherence to predefined quality standards.
66
Publications
5.2K
Citations
174
Authors
74
Institutions
Publications per year
2017–2026
5
Parents
66
MetaboAnalyst 2.0--a comprehensive server for metabolomic data analysis
Jianguo Xia, Raju K. Mandal, I. Sinelnikov et al. · Nucleic Acids Research · 2012 · 1.2K citations · Full text
Data Cleaning: Detecting, Diagnosing, and Editing Data Abnormalities
Jan Van den Broeck, Solveig A. Cunningham, R. Eeckels et al. · PLoS Medicine · 2005 · 447 citations · Full text
Towards certain fixes with editing rules and master data
Wenfei Fan, Jianzhong Li, Shuai Ma et al. · Proceedings of the VLDB Endowment · 2010 · 198 citations · Full text
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74
University of Arizona
Tucson, United States
4 h-index
4 publications
89 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
10 publications
1.2K citations

Harbin Institute of Technology
Harbin, China
3 h-index
5 publications
655 citations
Goethe University Frankfurt
Frankfurt am Main, Germany
2 h-index
2 publications
51 citations

National University of Malaysia
Bangi, Malaysia
2 h-index
2 publications
66 citations
United States Census Bureau
Suitland, United States
2 h-index
2 publications
40 citations

Beihang University
Beijing, China
2 h-index
2 publications
135 citations
Duke University
Durham, United States
2 h-index
2 publications
101 citations
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3 publications · 74 citations
3
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JOS · 4 publications · 75 citations
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SMR · 2 publications · 40 citations
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Repository · 2 publications · 53 citations
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AJAS · 2 publications · 66 citations
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1–5