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ORCHESTRA: Rapid, Collaborative Sharing of Dynamic Data

Summary: ORCHESTRA proposes a bottom-up framework for rapid, collaborative scientific data sharing where autonomous groups publish, revise, and extend datasets without a predefined global schema. Novelty: explicit management of disagreement, revision provenance, authority and intermittent participation in a peer-to-peer integration model. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
45
Venue
CIDR
Year
2005
Pagerank
9.7739542e-05
Overall Rank
1,781 | 87.79%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{ives_cidr05,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '05},
        title = {{ORCHESTRA: Rapid, Collaborative Sharing of Dynamic Data}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Ives, Zachary and Khandelwal, Nitin and Kapur, Aneesh and Cakir, Murat},
        year = {2005}
}

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