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Conceptual Study of Intelligent Data Archives of the FutureA conceptual architecture study is under way to address the problem of getting the most scientific value from the large volumes of Earth and space science data that NASA expects to accumulate in the future. This involves efficient storage and access, but goes beyond that to facilitate intelligent data understanding and utilization through modeling realistic virtual entities with predictive capabilities. The objective of the study is to formulate ideas and concepts and to provide recommendations that lead to prototyping and implementation in the period from 2010 to 2020. The approach consists of the definition of future scenarios and needs for data usage in applications (in consultation with scientific and applications users), projection of advances in technologies, and an abstraction of an intelligent archive architecture. Strategic evolution is considered in various areas such as storage, data, information and knowledge management, data ingest and mining, user interfaces, and advances in intelligent data understanding algorithms.
Document ID
20020045446
Acquisition Source
Goddard Space Flight Center
Document Type
Conference Paper
Authors
Ramapriyan, H. K.
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Kempler, Steve
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Lynnes, Chris
(NASA Goddard Space Flight Center Greenbelt, MD United States)
McConaughy, Gail
(NASA Goddard Space Flight Center Greenbelt, MD United States)
McDonald, Ken
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Kiang, Richard
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Calvo, Sherri
(Global Science and Technology, Inc. Greenbelt, MD United States)
Harberts, Robert
(Global Science and Technology, Inc. Greenbelt, MD United States)
Roelofs, Larry
(Global Science and Technology, Inc. Greenbelt, MD United States)
Sun, Donglian
(George Mason Univ. Fairfax, VA United States)
Clemence, Lara
(Global Science and Technology, Inc. Greenbelt, MD United States)
Date Acquired
August 20, 2013
Publication Date
April 1, 2002
Publication Information
Publication: Tenth Goddard Conference on Mass Storage Systems and Technologies in cooperation with the Nineteenth IEEE Symposium on Mass Storage Systems
Subject Category
Computer Programming And Software
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
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