Data Testing
Data Testing is a systematic method within the domain of data observability that verifies the correctness, consistency, and reliability of data across pipelines by applying predefined validation rules, constraints, or expectations to detect anomalies, errors, or deviations at various stages of the data lifecycle.
53
Publications
2.1K
Citations
184
Authors
80
Institutions
Publications per year
2017–2026
21
Parents
53
Surrogate data for hypothesis testing of physical systems
Gemma Lancaster, Dmytro Iatsenko, Aleksandra Pidde et al. · Physics Reports · 2018 · 424 citations · Full text
Impedance-based fault location in transmission networks: theory and application
Swagata Das, Surya Santoso, Anish Gaikwad et al. · IEEE Access · 2014 · 249 citations · Full text
An analytical framework for optimizing variant discovery from personal genomes
Gareth Highnam, Jason Wang, Dean Kusler et al. · Nature Communications · 2015 · 117 citations · Full text
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80

University of Bologna
Bologna, Italy
2 h-index
4 publications
118 citations
Otto-von-Guericke-Universität Magdeburg
Magdeburg, Germany
2 h-index
7 publications
261 citations

University of Massachusetts Amherst
Amherst Center, United States
2 h-index
4 publications
144 citations
University of Washington
Seattle, United States
2 h-index
2 publications
72 citations
Universitas Muhammadiyah Jember
Jember, Indonesia
1 h-index
1 publications
25 citations

Universitas Syiah Kuala
Banda Aceh, Indonesia
1 h-index
1 publications
19 citations

Symbiosis International University
Pune, India
1 h-index
1 publications
29 citations

Iran University of Science and Technology
Tehran, Iran
1 h-index
2 publications
24 citations
1–8 of 80
1 publications · 16 citations
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1 publications · 11 citations
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1 publications · 19 citations
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1 publications · 424 citations
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1 publications · 11 citations
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