Data Reliability Engineering
Data Reliability Engineering is a framework within data observability that systematically ensures the accuracy, consistency, and trustworthiness of data across pipelines by applying automated monitoring, validation, and remediation practices analogous to site reliability engineering in software systems.
29
Publications
1.1K
Citations
119
Authors
54
Institutions
Publications per year
2017–2026
16
Parents
29
The European Nucleotide Archive in 2023
David Yu Yuan, Alisha Ahamed, Josephine Burgin et al. · Nucleic Acids Research · 2023 · 133 citations · Full text
1–5 of 29
119
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1 publications · 11 citations
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54
University of Florida
Gainesville, United States
2 h-index
3 publications
263 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
2 h-index
6 publications
171 citations
AstraZeneca (United States)
Wilmington, United States
1 h-index
1 publications
13 citations
Laboratoire Génie de Production
Tarbes, France
1 h-index
3 publications
48 citations

Beijing University of Posts and Telecommunications
Beijing, China
1 h-index
3 publications
69 citations

University of Bologna
Bologna, Italy
1 h-index
4 publications
76 citations
Peng Cheng Laboratory
Shenzhen, China
1 h-index
1 publications
132 citations
Centre Occitanie-Montpellier
Montpellier, France
1 h-index
1 publications
41 citations
1–8 of 54
TOS · 1 publications · 135 citations
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1 publications · 34 citations
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IJoC · 1 publications · 15 citations
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1 publications · 12 citations
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1 publications · 16 citations
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