Database architecture evolution: mammals flourished long before dinosaurs became extinct
Proceedings of the VLDB Endowment
Workflows for metabolic flux analysis: data integration and human interaction
ISoLA'10 Proceedings of the 4th international conference on Leveraging applications of formal methods, verification, and validation - Volume Part I
Towards a generic infrastructure for sustainable management of quality controlled primary data
OTM'10 Proceedings of the 2010 international conference on On the move to meaningful internet systems
A panel discussion on data intensive science: moving towards solutions
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
FastQuery: a general indexing and querying system for scientific data
SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management
Parallel index and query for large scale data analysis
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
Parallel I/O, analysis, and visualization of a trillion particle simulation
SC '12 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
Optimizing fastquery performance on lustre file system
Proceedings of the 25th International Conference on Scientific and Statistical Database Management
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Dealing with the volume, complexity, and diversity of data currently being generated by scientific experiments and simulations often causes scientists to waste productive time. Scientific Data Management: Challenges, Technology, and Deployment describes cutting-edge technologies and solutions for managing and analyzing vast amounts of data, helping scientists focus on their scientific goals. The book begins with coverage of efficient storage systems, discussing how to write and read large volumes of data without slowing the simulation, analysis, or visualization processes. It then focuses on the efficient data movement and management of storage spaces and explores emerging database systems for scientific data. The book also addresses how to best organize data for analysis purposes, how to effectively conduct searches over large datasets, how to successfully automate multistep scientific process workflows, and how to automatically collect metadata and lineage information. This book provides a comprehensive understanding of the latest techniques for managing data during scientific exploration processes, from data generation to data analysis. Enhanced by numerous detailed color images, it includes real-world examples of applications drawn from biology, ecology, geology, climatology, and more. Check out Dr. Shoshani discuss the book during an interview with International Science Grid This Week (iSGTW): http://www.isgtw.org/?pid=1002259