Data Discoverability is a foundational property of open data ecosystems that enables datasets to be effectively located, identified, and accessed by intended users through standardized metadata, indexing, and search mechanisms.
84
Publications
10K
Citations
434
Authors
255
Institutions
Publications per year
2017–2026
37
Parents
Publications
84
The EMBL-EBI search and sequence analysis tools APIs in 2019
Fábio Madeira, Young Mi Park, Joon Lee et al. · Nucleic Acids Research · 2019 · 4.7K citations · Full text
Big data and its technical challenges
H. V. Jagadish, Johannes Gehrke, Alexandros Labrinidis et al. · Communications of the ACM · 2014 · 1K citations
1–5 of 84
Authors
434
- MA
4
h-index
- TW
3
h-index
- MD
3
h-index
- PC
3
h-index
- SS
3
h-index
1–5 of 434
Institutions
255
University of Oxford
Oxford, United Kingdom
5 h-index
41 publications
1.3K citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
26 publications
887 citations
University of California San Diego
San Diego, United States
4 h-index
20 publications
1.8K citations
Harvard University
Cambridge, United States
3 h-index
16 publications
542 citations
Universidad Politécnica de Madrid
Madrid, Spain
3 h-index
5 publications
169 citations
United States National Library of Medicine
Bethesda, United States
3 h-index
9 publications
772 citations
University Medical Center Groningen
Groningen, The Netherlands
3 h-index
5 publications
247 citations
University of Chicago
Chicago, United States
3 h-index
10 publications
554 citations
1–8 of 255
Venues
- Data Science Journal
4 publications · 133 citations
4
h-index
- Database
3 publications · 104 citations
3
h-index
- Scientific Data
2 publications · 96 citations
2
h-index
- Communications of the ACM
2 publications · 1.1K citations
2
h-index
- Journal of Biomedical Semantics
JBMS · 2 publications · 64 citations
2
h-index
1–5