Scientific Data Management: Challenges, Technology, and Deployment

Arie Shoshani, Doron Rotem

December 16, 2009 by Chapman and Hall/CRC
Reference - 590 Pages - 37 Color & 146 B/W Illustrations
ISBN 9781420069808 - CAT# C6980
Series: Chapman & Hall/CRC Computational Science


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  • Examines the problems encountered when managing and analyzing large and complex data volumes
  • Presents techniques for managing data in different phases of scientific exploration
  • Discusses efficient access to storage systems, including parallel file systems
  • Explores how to efficiently move large data volumes and automatically optimize the physical organization of data for fast analysis
  • Includes specialized data search methods, feature discovery, and statistical analysis methods
  • Describes technology for scientific workflow, metadata, and provenance management that ensures executing multiple tasks in sequence and/or concurrently in a robust, tractable, and recoverable manner


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):


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