Common Data Model Design
Common Data Model Design is a methodological framework that specifies standardized schemas, data elements, and interoperability rules to enable consistent representation, integration, and exchange of heterogeneous data across diverse platforms and systems.
205
Publications
12.4K
Citations
1.4K
Authors
620
Institutions
Publications per year
2017–2026
108
205
xarray: N-D labeled Arrays and Datasets in Python
Stephan Hoyer · Journal of Open Research Software · 2017 · 1.6K citations · Full text
Toward interoperable bioscience data
Susanna‐Assunta Sansone, Philippe Rocca‐Serra, Dawn Field et al. · Nature Genetics · 2012 · 468 citations · Full text
Computing, Biology, Data Science +16
Classifying schematic and data heterogeneity in multidatabase systems
1–5 of 205
1.4K
14
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9
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7
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1–5 of 1.4K
620
Janssen (United States)
Hopewell, United States
16 h-index
49 publications
5.4K citations
Harvard University
Cambridge, United States
14 h-index
54 publications
9.1K citations
Columbia University
New York, United States
14 h-index
41 publications
1.8K citations
Erasmus MC
Rotterdam, The Netherlands
12 h-index
37 publications
1.4K citations
University of Oxford
Oxford, United Kingdom
10 h-index
33 publications
2.7K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
8 h-index
16 publications
1.9K citations
Northwestern University
Evanston, United States
7 h-index
23 publications
1.9K citations

Johns Hopkins University
Baltimore, United States
7 h-index
19 publications
1.1K citations
1–8 of 620
JAMIA · 18 publications · 2K citations
18
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9 publications · 414 citations
8
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Repository · 7 publications · 159 citations
7
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ACI · 6 publications · 313 citations
6
h-index
Book series · 5 publications · 115 citations
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