Why and Where: A Characterization of Data Provenance
ICDT '01 Proceedings of the 8th International Conference on Database Theory
Mapping data in peer-to-peer systems: semantics and algorithmic issues
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Lineage tracing in data warehouses
Lineage tracing in data warehouses
Bidirectional expansion for keyword search on graph databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Data exchange: semantics and query answering
Theoretical Computer Science - Database theory
Reconciling while tolerating disagreement in collaborative data sharing
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Debugging schema mappings with routes
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
ULDBs: databases with uncertainty and lineage
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Discover: keyword search in relational databases
VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
Learning to create data-integrating queries
Proceedings of the VLDB Endowment
On the secure sharing and aggregation of data to support systems biology research
DILS'10 Proceedings of the 7th international conference on Data integration in the life sciences
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As the sciences have become increasingly data driven, it is clear that information integration is critical to their advancement. By integrating diverse data, we can allow biologists to discover big-picture patterns or behaviors, or to do comparative analyses among different organisms or systems. By enabling collaborative editing and annotation of integrated data -- incorporating contributions from parties with different viewpoints -- we can facilitate higher-quality, better-understood data. One of the open challenges, however, lies in developing the right architectures and models for supporting effective data integration and exchange in science.