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SIGMOD
2006
ACM

Reconciling while tolerating disagreement in collaborative data sharing

10 years 5 days ago
Reconciling while tolerating disagreement in collaborative data sharing
In many data sharing settings, such as within the biological and biomedical communities, global data consistency is not always attainable: different sites' data may be dirty, uncertain, or even controversial. Collaborators are willing to share their data, and in many cases they also want to selectively import data from others -- but must occasionally diverge when they disagree about uncertain or controversial facts or values. For this reason, traditional data sharing and data integration approaches are not applicable, since they require a globally consistent data instance. Additionally, many of these approaches do not allow participants to make updates; if they do, concurrency control algorithms or inconsistency repair techniques must be used to ensure a consistent view of the data for all users. In this paper, we develop and present a fully decentralized model of collaborative data sharing, in which participants publish their data on an ad hoc basis and simultaneously reconcile ...
Nicholas E. Taylor, Zachary G. Ives
Added 08 Dec 2009
Updated 08 Dec 2009
Type Conference
Year 2006
Where SIGMOD
Authors Nicholas E. Taylor, Zachary G. Ives
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