Data Standards Harmonization
Data Standards Harmonization is a methodological framework that establishes interoperability among heterogeneous data standards by systematically aligning their syntactic, semantic, and structural specifications to enable consistent data exchange across diverse domains.
29
Publications
970
Citations
144
Authors
96
Institutions
Publications per year
2017–2026
12
Parents
29
FAIR data sharing: The roles of common data elements and harmonization
Rebecca Kush, Denise Warzel, Maura Kush et al. · Journal of Biomedical Informatics · 2020 · 175 citations
Mika Matsuzaki, Vu Minh Quan, Marya Gwadz et al. · BMC Public Health · 2018 · 67 citations · Full text
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96
University of Washington
Seattle, United States
2 h-index
4 publications
228 citations

Johns Hopkins University
Baltimore, United States
2 h-index
4 publications
148 citations
Max Planck Institute for Human Cognitive and Brain Sciences
Leipzig, Germany
1 h-index
1 publications
27 citations
Indiana University Bloomington
Bloomington, United States
1 h-index
1 publications
27 citations
Harvard University
Cambridge, United States
1 h-index
1 publications
175 citations

University of Duisburg-Essen
Essen, Germany
1 h-index
2 publications
28 citations
Centre for Demographic Studies
Bellaterra, Spain
1 h-index
1 publications
48 citations
National Hellenic Research Foundation
Athens, Greece
1 h-index
1 publications
18 citations
1–8 of 96
1 publications · 14 citations
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Conference · 1 publications · 12 citations
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1 publications · 26 citations
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IJPLM · 1 publications · 39 citations
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1 publications · 11 citations
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