Statistics – Applications
Scientific paper
Dec 2006
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2006agufmsm11c..03k&link_type=abstract
American Geophysical Union, Fall Meeting 2006, abstract #SM11C-03
Statistics
Applications
6339 System Design, 7844 Parametric Processes, 7899 General Or Miscellaneous
Scientific paper
Information engineering is a rigorous architectural approach to developing and deploying applications within an enterprise. It progresses through natural stages of analysis, design and implementation with the focus on how information is organized to achieve desired objectives. NASA has undertaken the task of organizing and leveraging the vast expanse of information in the Heliophysics domain. To achieve this goal NASA has supported the SPASE modeling effort and established domain specific Virtual Observatories. We explore how this effort fits into an information engineering approach and discuss the important and relevance of data modeling, standardization and open frameworks to achieving NASA's goals. The SPASE modeling effort and independent analysis by some of the Virtual Observatories have determined that the best solution is the development of data systems that are organized based on available resources, that is, adaptive to their environment. We explore why adaptive data systems are the best choice for reducing information entropy, adding value and improving information dissemination within NASA's Heliophysics domain.
Joy Steven P.
King Terence A.
Roberts Daniel A.
Thieman James R.
Walker Ray J.
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