Making Database Systems Usable
Summary: Pinpoints five usability pain points in today's databases and outlines a usability research agenda. Proposes a presentation data model with a schema-later approach, emphasizing direct data manipulation, provenance, and cross-model consistency. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. H. V. Jagadish (University of Michigan)
- 2. Adriane Chapman (University of Michigan)
- 3. Aaron Elkiss (University of Michigan)
- 4. Magesh Jayapandian (University of Michigan)
- 5. Yunyao Li (University of Michigan)
- 6. Arnab Nandi (University of Michigan)
- 7. Cong Yu (University of Michigan)
BibTeX Citation
@inproceedings{jagadish_sigmod07,
title = {{Making Database Systems Usable}},
author = {Jagadish, H. V. and Chapman, Adriane and Elkiss, Aaron and Jayapandian, Magesh and Li, Yunyao and Nandi, Arnab and Yu, Cong},
series = {{SIGMOD} '07},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1247480.1247483},
url = {https://dl.acm.org/doi/10.1145/1247480.1247483},
year = {2007}
}
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