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NASAs EOSDIS and VOiG Objectives: A Comparison

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Title: NASAs EOSDIS and VOiG Objectives: A Comparison


1
NASAs EOSDIS and VOiG ObjectivesA Comparison
  • Presentation to the Virtual Observatories in
    Geosciences (VOiG) Conference
  • Denver, CO
  • June 12-15, 2007

2
Theme/Outline
  • EOSDIS Evolution Plans Parallel eGY Objectives of
    the VOiG
  • EOSDIS Background
  • EOSDIS Vision for Evolution (Tenets)
  • eGY objectives
  • Mapping between EEE and eGY
  • EOSDIS and VOs

3
EOSDIS Background
  • NASAs EOSDIS is a petabyte-scale archive of
    environmental data that supports global climate
    change research

EOS 24 Measurements
  • EOSDIS provides for
  • Data ingest
  • Data processing
  • Data distribution
  • Archive management
  • User Services
  • Holdings as of FY2006
  • Volume 4.9 PB
  • Collections gt2K datasets
  • Granules 56 million files
  • Browse 14 million files

4
EOSDIS Context
5
EOSDIS - Distributed Data Centers
GSFC GLAS, MODIS, OMI, OCDPS
NCAR, U of Col. HIRDLS, MOPITT, SORCE
JPL MLS, TES
San Diego ACRIM
LaRC CERES, SAGE III
DAAC
SIPS
GHRC AMSR-E, LIS
6
EOS Clearinghouse (ECHO)
  • ECHO is the middleware between EOS data and
    science data users via a service-oriented
    architecture
  • Data Partners provide metadata for their EOS data
    holdings and other Earth science-related data
    holdings
  • Client Partners develop software (clients) to
    give science data users access to ECHOs
    registries using ECHOs open APIs
  • Science data users search ECHO's registries and
    access data and services using an ECHO client

ECHO
Client Partners
Data Partners
Data Registry CollectionsGranules Browse
Images
Tailored Graphical User Interfaces
DAACs
Client Partner APIs
Modeling, Applications, Decision Support Systems
Data Partner APIs
End User
Other Data Partners
Extended Services Registry
General-Purpose GUIs
7
EOSDIS Evolution
  • In 2005, NASA began a formal effort to
    reinvigorate EOSDIS
  • Known as EOSDIS Evolution
  • The major objectives of Evolution are
  • Improve response to science needs
  • Facilitate a more distributed environment
  • Manage archive volume growth
  • Upgrade aging systems and components
  • Reduce recurring costs of operations and
    sustaining engineering

8
EOSDIS Evolution Benefits
  • EOSDIS developed a vision for the 2015 timeframe
  • Vision description on next slide
  • Key features of the EOSDIS Evolution approach
  • Incorporated ideas from data center experiences
  • Encouraged data centers to assume leadership of
    development and sustaining engineering
    responsibilities
  • Reduced dependence on COTS products
  • Transitioned responsibilities among elements
    transparently to users
  • Introduced efficiencies in services and cost
    management
  • processing on demand
  • on-line archive storage
  • commodity platforms
  • Implementation began in 2006

9
EOSDIS Vision Tenets
10
eGY Objectives/Declarations
Reference http//www.egy.org/declaration.html
11
Mapping of EEE vision to eGY objectives
12
Comparison Points
  • Note the similarities in objectives almost a
    one-to-one relationship
  • Consistent with EOSDIS evolving into more of a
    distributed data system
  • EOSDIS supports a pre-planned community of
    providers, but makes data available to all
    interested users in the world community
  • Recognizes that access to outside data is
    necessary to develop the data products and models
    for meeting the science objectives
  • Given the common goals, EOSDIS and VOs should
    understand how to work together

13
EOSDIS and VxOs Discussion Questions
  • How can EOSDIS and VOs benefit from working
    together?
  • Could sharing data lead to more meaningful
    scientific products?
  • Earth science data (from EOSDIS) and heliospheric
    sciencedata (from space science VOs)
  • Growing importance of space weather impacts on
    human activities
  • Upper atmospheric interactions
  • Are there other Earth science disciplines that
    would benefit from sharing data and ideas?

14
EOSDIS and VxOs Discussion Questions
  • How would the systems interact?
  • How would a users interact with two (or more)
    systems?
  • common query approaches
  • registries of capabilities
  • product catalogs
  • What level of services provided to the data
    provider, data user?
  • EOSDIS has explored these issues in developing
    ECHO
  • How do you accomplish data fusion between the
    systems?
  • What is the science use case for EOSDIS
    interaction with a virtual observatory?

15
Summary
  • EOSDIS supports a variety of data providers and
    provides data services to many users through its
    network of data centers and data access
    mechanisms
  • Serves as a distributed data system for NASA
    Earth science data
  • Continuously improving the means to access and
    share data
  • The VO paradigm demonstrates alternative ways to
    performing similar functions
  • Exchange of information between EOSDIS and VO
    participants would be beneficial
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