DBScholar

Back to papers

Managing Scientific Data: Lessons, Challenges, and Opportunities

Summary: Global survey of scientific data management: lessons, challenges, opportunities for analysis. Pushes back against general-purpose DBMS inefficiencies; advocates preserving data independence while enabling growth in datasets and complex queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4515
Venue
SIGMOD
Year
2011
Pagerank
-
Overall Rank
13,685 | 6.11%
DOI
10.1145/1989323.1989433

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@inproceedings{ailamaki_sigmod11,
        title = {{Managing Scientific Data: Lessons, Challenges, and Opportunities}},
        author = {Ailamaki, Anastasia},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989433},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989433},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank Citing Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
Previous Page 1 / 1 Next

Semantically Similar Papers