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Scientific Databases - State of the Art and Future Directions

Summary: Surveys why scientific workloads outgrow conventional DBMSs: complex types, massive and distributed collections, heterogeneous platforms, and specialized analytics. Advocates domain-driven co-design between scientists and database researchers, illustrated by NASA Earth-observation and genomics. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8436
Venue
VLDB
Year
1994
Pagerank
-
Overall Rank
14,327 | 1.71%
DOI
-

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BibTeX Citation

@article{zemankova_vldb94,
        title = {{Scientific Databases - State of the Art and Future Directions}},
        author = {Zemankova, Maria and Ioannidis, Yannis E.},
        journal = {PVLDB},
        series = {{VLDB} '94},
        pages = {752},
        year = {1994}
}

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