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Data Management Considerations for IGOS

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Title: Data Management Considerations for IGOS


1
Data Management Considerations for IGOS
Mark Parson, NSIDC
2
Some Basics to Consider
  • Look at whats been done before.
  • Of note NRC 95. Finding the Forest for the Trees
  • Fundamentally it is a question of data
    preservation and accesstwo sides of the same
    coin
  • Data management is about peopleinvolve
    professionals early
  • People need to understand best practicesOAIS is
    great and should be adopted

3
More Basics to Consider
  • Know your users--and recognize they will change
    in unanticipated ways
  • Document well - especially data uncertainty
  • Scientists and data managers need to work
    together on documentation
  • Documentation always takes more time and effort
    than you think it will
  • Data management costs money--there is no good
    business model but NRC 95 estimates 10 of total
    project cost.

4
Facilitating Integration - Issues for Observing
systems
  • Define and enforce data standards and methods,
    e.g
  • Data and metadata formats
  • Spatial and temporal scales and grids
  • Data collection methods
  • Data transfer methods and interfaces
  • Data quality and accountability procedures
  • Put someone in charge of keeping track of all
    this herding the cats
  • More and better data integration and information
    mining tools will be available but they require
    good data.

5
The equatorial biasa problem in the cryosphere
Many view the world as a flat earth
A manner of representing the distances which
gives the worst results of all.
- Claudius Ptolemy (c. 100 AD)
6
The equatorial biasa problem in the cryosphere
We see a round (spherical) Earth
This informs grids, projections,search tools,
subsetting methods, etc. If you consider the
poles it is easy to handle the equator, but not
the other way around.
7
An example85 false positives
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