Data Reliability Assessment
Data Reliability Assessment is a systematic methodological process that evaluates the consistency, accuracy, and trustworthiness of data across conditions or measurements to ensure its validity for interpretation and decision-making within empirical research.
44
Publications
8.3K
Citations
115
Authors
57
Institutions
Publications per year
2017–2026
7
44
Reliability in Content Analysis.
Klaus Krippendorff · Human Communication Research · 2004 · 2.1K citations
Irawan Soehartono · 2002 · 1.8K citations
Ulbert Silalahi · 2012 · 596 citations
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57
University of Pennsylvania
Philadelphia, United States
2 h-index
2 publications
407 citations

Stockholm University
Stockholm, Sweden
2 h-index
4 publications
79 citations
Center for Environmental Health
Oakland, United States
1 h-index
2 publications
44 citations
Ingénierie des Agropolymères et Technologies Emergentes
Montpellier, France
1 h-index
2 publications
82 citations
Bioengineering (Switzerland)
Wald, Switzerland
1 h-index
1 publications
22 citations
University of Southampton
Southampton, United Kingdom
1 h-index
3 publications
30 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
2 publications
50 citations
ETH Zurich
Zurich, Switzerland
1 h-index
1 publications
22 citations
1–8 of 57
2 publications · 1.2K citations
2
h-index
1 publications · 24 citations
1
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TKDE · 1 publications · 41 citations
1
h-index
1 publications · 30 citations
1
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1 publications · 64 citations
1
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1–5