Difference between revisions of "IQ cluster kick-off meeting"

From Earth Science Information Partners (ESIP)
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[http://wiki.esipfed.org/index.php/Summer_2011_Meeting Prepare for the Summer 2011 ESIP Fed meeting]
 
[http://wiki.esipfed.org/index.php/Summer_2011_Meeting Prepare for the Summer 2011 ESIP Fed meeting]
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== Theme Idea for the Summer meeting ==
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Data/Information Quality
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== Topics ==
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*Data quality provided vs. data quality needed (fitness-for-purpose). Solicit and present data quality needs for climate change, air quality, disaster management
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*Pixel quality vs. product quality
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*Validation issues. What is Level 3 data validation? What is Level 3 data quality?
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*Best practices in different communities addressing data quality, e.g., SST error budget
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*Existing IQ frameworks and methodologies (Data View)
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*Quality ontology
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*Quality provenance
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*Quality harmonization
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*Interaction with QA4EO and other international entities dealing with data quality for earth observations
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== Breakout sessions ==
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*IQ cluster (terminology, standardization, IQ framework, IQ4EO white paper preparetion)
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*Semantic web cluster (to discuss data quality ontology)
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*Air quality cluster
  
 
==Action items==
 
==Action items==
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For the summer meeting:
 
* Solicit ideas for breakout sessions
 
* Solicit ideas for breakout sessions
* Invited speakers
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* Propose Invited speakers
 +
For the IQ cluster:
 
* Volunteer for best practices in different communities
 
* Volunteer for best practices in different communities
 
* Collect references and build the IQ Knowledge Base
 
* Collect references and build the IQ Knowledge Base
 +
* Establish telecon

Revision as of 22:07, January 5, 2011

Agenda

Main objective

Prepare for the Summer 2011 ESIP Fed meeting

Theme Idea for the Summer meeting

Data/Information Quality

Topics

  • Data quality provided vs. data quality needed (fitness-for-purpose). Solicit and present data quality needs for climate change, air quality, disaster management
  • Pixel quality vs. product quality
  • Validation issues. What is Level 3 data validation? What is Level 3 data quality?
  • Best practices in different communities addressing data quality, e.g., SST error budget
  • Existing IQ frameworks and methodologies (Data View)
  • Quality ontology
  • Quality provenance
  • Quality harmonization
  • Interaction with QA4EO and other international entities dealing with data quality for earth observations

Breakout sessions

  • IQ cluster (terminology, standardization, IQ framework, IQ4EO white paper preparetion)
  • Semantic web cluster (to discuss data quality ontology)
  • Air quality cluster

Action items

For the summer meeting:

  • Solicit ideas for breakout sessions
  • Propose Invited speakers

For the IQ cluster:

  • Volunteer for best practices in different communities
  • Collect references and build the IQ Knowledge Base
  • Establish telecon