Data Standardization Rules
Data Standardization Rules is a methodological framework that specifies a set of consistent, predefined transformations and conventions for rescaling and restructuring data values into a common format or range to enable meaningful comparison and analysis across heterogeneous datasets.
15
Publications
477
Citations
53
Authors
25
Institutions
Publications per year
2017–2026
2
Parents
15
A Special Issue on Data Standards
Dawn Field, Susanna‐Assunta Sansone · OMICS A Journal of Integrative Biology · 2006 · 56 citations
1–5 of 15
53
2
h-index
2
h-index
Indian Institute of Science Education and Research Thiruvananthapuram, India
2 publications · 32 citations
2
h-index
2
h-index
1
h-index
1–5 of 53
25
IBM Research - India
New Delhi, India
2 h-index
14 publications
220 citations
Joint Institute for High Temperatures
Moscow, Russia
1 h-index
2 publications
30 citations
IBM (India)
Bengaluru, India
1 h-index
2 publications
28 citations
Texas A&M University
College Station, United States
1 h-index
1 publications
15 citations
Universidad de Zaragoza
Zaragoza, Spain
1 h-index
2 publications
36 citations
Institució Catalana de Recerca i Estudis Avançats
Barcelona, Spain
1 h-index
1 publications
18 citations
Integrated Nonclinical Development Solutions (United States)
Ann Arbor, United States
1 h-index
3 publications
42 citations
Horizon Research (United States)
Chapel Hill, United States
1 h-index
2 publications
20 citations
1–8 of 25
1 publications · 14 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 20 citations
1
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1 publications · 149 citations
1
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CSDA · 1 publications · 15 citations
1
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1–5