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)
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Authors
- 1. Maria Zemankova (MITRE Corporation)
- 2. Yannis E. Ioannidis (University of Wisconsin)
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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