[ESIP-all] Fwd: [open-science] Looking for Climate Data group editors!

Niemann.Brand at epamail.epa.gov Niemann.Brand at epamail.epa.gov
Wed Dec 30 11:19:36 EST 2009

I would be interested in helping. Brand Niemann


  From:       David Arctur <darctur at opengeospatial.org>                                                                           
  To:         OGC TC <tc at lists.opengeospatial.org>, ESIP Federation <esip-all at rtpnet.org>                                         
  Cc:         jonathan.gray at okfn.org                                                                                              
  Date:       12/23/2009 10:34 AM                                                                                                 
  Subject:    [ESIP-all] Fwd: [open-science] Looking for Climate Data group     editors!                                          

To: ESIP Federation members
To: OGC Technical Committee members

The Open Knowledge Foundation (okfn.org), Clear Climate Code (
clearclimatecode.org) and the scientists at Real Climate (
realclimate.org) are looking for help in maintaining an up to date list
of key climate related assets. FYI, I am forwarding their request (see

If you would, please help us update our list (below) of key reasons to
host climate-related datasets on servers that implement OGC and ISO
standards. We'll be sure to publish our updated list where the climate
community will see it.

Best regards,
David K Arctur
Open Geospatial Consortium (OGC)
darctur at opengeospatial.org      http://www.opengeospatial.org
mobile +1.512.771.1434, office +1.512.402.1743, fax +1.815.642.8336

Reasons to publish geospatial research data on the Web using catalogs
and servers that implement OGC and ISO standards:

a) Improved opportunities for cross-disciplinary and longitudinal
b) Improved verifiability of results.
c) Improved Web-based data publish/search capabilities. In most cases,
literature searches will be a much less efficient way to discover data
than direct data searches using online catalogs that include
ISO-standard metadata. For example, temperature data collected by an
ornithologist may include temperature readings that would be valuable to
a hydrologist studying snow pack.
d) Improved ability to re-use or repurpose data for new investigations,
reducing redundant data collection, increasing the value of data and
creating opportunities for value-added data enhancement.
e) Improved opportunities to collaboratively plan data collection and
publishing efforts to serve multiple defined and undefined uses.
f) Improved rigor and transparency regarding data collection methods,
processing methods and data semantics. The SensorML standard makes the
processing chain transparent. Agreed ways of describing methods (such as
data reduction) and data contribute to clarity and rigor.
g) Improved ability to discover spatial relationships. Robust data
descriptions and quick access to the data will enable more rapid
exploration of hypothetical relationships.
h) Improved ability to characterize, in a standardized human-readable
and machine-readable way, the parameters of sensors, sensor systems and
sensor-integrated processing chains (including human interventions).
This enables useful unification of many kinds of observations, including
those that yield a term rather than a number.
i) Improved ability to "fuse" in-situ measurements with data from
scanning sensors. This bridges the divide between unmediated raw
spatial-temporal data or spatial-temporal data that is the result of a
complex processing chain.
j) Improved ability to "chain" Web services for data reduction and
analysis, and improved ability to introduce data into computer models
that use multiple inputs from remote data stores or real-time data
k) Improved ability to efficiently encode sensor data and metadata in
ISO standard form.
j) Improved societal and institutional return on investment of research
dollars, and improved ability of research funding institutions to do due
diligence and policy development.
h) More efficient scientific debate and accelerated pace of scientific
discovery, as automation and new institutional arrangements reduce the
amount of time spent on data management, freeing researchers' time for
more creative work and more communication with other scientists.

Begin forwarded message:

      From: Jonathan Gray <jonathan.gray at okfn.org>
      Date: December 21, 2009 8:43:55 AM EST
      To: open-science <open-science at lists.okfn.org>
      Subject: [open-science] Looking for Climate Data group editors!

      Anyone interested in helping to maintain an up to date list of key
      climate related datasets?


      This is a collaboration between the Open Knowledge Foundation
      (okfn.org), Clear Climate Code (clearclimatecode.org) and the
      scientists at Real Climate (realclimate.org).

      If you'd like to help out - please drop me a line off list!

      Jonathan Gray

      Community Coordinator
      The Open Knowledge Foundation

      open-science mailing list
      open-science at lists.okfn.org

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