Metadata-Based Discovery is a method of resource discovery that relies on structured data describing resources—such as authorship, format, keywords, and provenance—to enable identification, retrieval, and integration of resources by emphasizing descriptive metadata rather than content analysis.
94
Publications
3.7K
Citations
367
Authors
154
Institutions
Publications per year
2017–2026
28
Parents
Publications
94
A Metadata Catalog Service for Data Intensive Applications
Gurmeet Singh, S. Bharathi, Ann Chervenak et al. · 2003 · 227 citations
1–5 of 94
Authors
367
- KC
4
h-index
- IF
4
h-index
- TJ
3
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- PR
3
h-index
- SS
3
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1–5 of 367
Institutions
154
University of Chicago
Chicago, United States
5 h-index
27 publications
588 citations
Argonne National Laboratory
Lemont, United States
5 h-index
17 publications
339 citations
University of Oxford
Oxford, United Kingdom
4 h-index
9 publications
520 citations
University of Southern California
Los Angeles, United States
4 h-index
17 publications
2K citations
University of Michigan
Ann Arbor, United States
4 h-index
6 publications
430 citations
University of California San Diego
San Diego, United States
4 h-index
12 publications
805 citations
Brigham Young University
Provo, United States
3 h-index
6 publications
192 citations
University of Strathclyde
Glasgow, United Kingdom
3 h-index
4 publications
566 citations
1–8 of 154
Venues
- Library Review
3 publications · 297 citations
3
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- Proceedings of the VLDB Endowment
PVLDB · 2 publications · 128 citations
2
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- D-Lib Magazine
2 publications · 163 citations
2
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- Scientific Data
2 publications · 111 citations
2
h-index
- College & Research Libraries
2 publications · 38 citations
2
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1–5