Data Harmonization
Data Harmonization is a systematic process in data integration that standardizes the syntax, semantics, and structure of heterogeneous data sources to ensure interoperability and consistency, distinguishing itself from related data transformation techniques by its focus on achieving unified meaning and alignment across diverse datasets.
180
Publications
10.5K
Citations
1.8K
Authors
798
Institutions
Publications per year
2017–2026
116
180
Jairo H. Migueles, Alex V. Rowlands, Florian Huber et al. · Journal for the Measurement of Physical Behaviour · 2019 · 965 citations · Full text
The PhenX Toolkit: Get the Most From Your Measures
Carol M. Hamilton, Lisa C. Strader, J. G. Pratt et al. · American Journal of Epidemiology · 2011 · 905 citations · Full text
1–5 of 180
1.8K
6
h-index
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
6 publications · 351 citations
6
h-index
Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
4 publications · 289 citations
4
h-index
4
h-index
4
h-index
1–5 of 1.8K
798
Harvard University
Cambridge, United States
14 h-index
70 publications
4.2K citations
University of Washington
Seattle, United States
10 h-index
35 publications
2K citations
Heidelberg University
Heidelberg, Germany
9 h-index
17 publications
1.1K citations

Brigham and Women's Hospital
Boston, United States
8 h-index
33 publications
2.2K citations
Inserm
Paris, France
8 h-index
18 publications
1.4K citations
University of Southern California
Los Angeles, United States
8 h-index
17 publications
613 citations
University College London
London, United Kingdom
7 h-index
20 publications
2.6K citations
University of Pennsylvania
Philadelphia, United States
7 h-index
42 publications
1.8K citations
1–8 of 798
JMI · 4 publications · 109 citations
4
h-index
4 publications · 89 citations
3
h-index
ACI · 3 publications · 138 citations
3
h-index
3 publications · 196 citations
3
h-index
3 publications · 441 citations
3
h-index
1–5