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ICDE
2006
IEEE
134views Database» more  ICDE 2006»
14 years 2 months ago
Processing High-Volume Stream Queries on a Supercomputer
Scientific instruments, such as radio telescopes, colliders, sensor networks, and simulators generate very high volumes of data streams that scientists analyze to detect and under...
Erik Zeitler, Tore Risch
ERCIMDL
2007
Springer
129views Education» more  ERCIMDL 2007»
14 years 3 months ago
Know Thy Sensor: Trust, Data Quality, and Data Integrity in Scientific Digital Libraries
For users to trust and interpret the data in scientific digital libraries, they must be able to assess the integrity of those data. Criteria for data integrity vary by context, by ...
Jillian C. Wallis, Christine L. Borgman, Matthew S...
SIGMOD
2006
ACM
116views Database» more  SIGMOD 2006»
14 years 9 months ago
Provenance management in curated databases
Curated databases in bioinformatics and other disciplines are the result of a great deal of manual annotation, correction and transfer of data from other sources. Provenance infor...
Peter Buneman, Adriane Chapman, James Cheney
SSDBM
1999
IEEE
113views Database» more  SSDBM 1999»
14 years 1 months ago
Multidimensional Indexing and Query Coordination for Tertiary Storage Management
In many scientific domains, experimental devices or simulation programs generate large volumes of data. The volumes of data may reach hundreds of terabytes and therefore it is imp...
Arie Shoshani, Luis M. Bernardo, Henrik Nordberg, ...
SSDBM
2010
IEEE
166views Database» more  SSDBM 2010»
14 years 1 months ago
Bridging Workflow and Data Provenance Using Strong Links
Abstract. As scientists continue to migrate their work to computational methods, it is important to track not only the steps involved in the computation but also the data consumed ...
David Koop, Emanuele Santos, Bela Bauer, Matthias ...