Changing the Equation on Scientific Data Visualization

Author:

Fox Peter1,Hendler James1

Affiliation:

1. Tetherless World Constellation, Rensselaer Polytechnic Institute, Troy, NY 12180, USA.

Abstract

An essential facet of the data deluge is the need for different types of users to apply visualizations to understand how data analyses and queries relate to each other. Unfortunately, visualization too often becomes an end product of scientific analysis, rather than an exploration tool that scientists can use throughout the research life cycle. However, new database technologies, coupled with emerging Web-based technologies, may hold the key to lowering the cost of visualization generation and allow it to become a more integral part of the scientific process.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference10 articles.

1. National Center for Atmospheric Research (NCAR) University Corporation for Atmospheric Research (UCAR) Towards a Robust Agile and Comprehensive Information Infrastructure for the Geosciences: A Strategic Plan for High-Performance Simulation (NCAR UCAR Boulder CO 2000); www.ncar.ucar.edu/Director/plan.pdf.

2. T. Hey S. Tansley K. Tolle Eds. The Fourth Paradigm: Data-Intensive Scientific Discovery (Microsoft External Research Redmond WA 2009).

3. 2010 Web usage estimate from Internet World Stats www.internetworldstats.com/.

4. R. Magoulas B. Lorica Introduction to Big Data Release 2.0 issue 11 (O’Reilly Media Sebastopol CA 2009); http://radar.oreilly.com/2009/03/big-data-technologies-report.html.

5. C. Bizer T. Heath K. Idehen T. Berners-Lee “Linked data on the Web (LDOW2008) ” in Proceedings of the 17th International Conference on World Wide Web Beijing 21 to 25 April 2008.

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