Difference between revisions of "IQ cluster kick-off meeting"
From Earth Science Information Partners (ESIP)
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== Participants == | == Participants == | ||
| − | Gregory Leptoukh | + | *Gregory Leptoukh (GSFC) |
| − | Steve Berrick | + | *Steve Berrick (NASA HQ) |
| − | Chris Lynnes | + | *Chris Lynnes (GSFC) |
| − | Hook Hua | + | *Hook Hua (JPL) |
| − | Scott Ritz | + | *Scott Ritz (GSFC) |
| − | + | *Tyler Stevens (GSFC) | |
| − | Ethan McMahon | + | *Ethan McMahon (EPA) |
| − | Bill Teng | + | *Bill Teng (GSFC) |
| − | Peter Fox | + | *Peter Fox (RPI) |
== Main objective == | == Main objective == | ||
| Line 30: | Line 30: | ||
== Breakout sessions == | == Breakout sessions == | ||
| − | *IQ cluster (terminology, standardization, IQ framework, IQ4EO white paper | + | *IQ cluster (terminology, standardization, IQ framework, IQ4EO white paper preparation) |
*Semantic web cluster (to discuss data quality ontology) | *Semantic web cluster (to discuss data quality ontology) | ||
*Air quality cluster | *Air quality cluster | ||
== Discussions == | == Discussions == | ||
| + | Tuning the summer meeting tangible objectives: | ||
| + | *White paper(s). Formulate and consistently present user requirements for data quality | ||
| + | *... | ||
| + | |||
Suggested speakers: | Suggested speakers: | ||
| − | * Eloquent representative from a user community who present a compelling story for data quality specific to her/his community. Potential candidates: Jim Hansen for Climate change | + | * Eloquent representative from a user community who present a compelling story for data quality specific to her/his community. Potential candidates: Jim Hansen for Climate change; Caspar Ammann from UCAR |
* Programmatic view - Martha? | * Programmatic view - Martha? | ||
* Data provider response - Wentz? | * Data provider response - Wentz? | ||
| − | Suggested | + | Suggested topics: |
| + | * Summarize presentations from the last AGU quality and uncertainty related sessions. | ||
| + | * Select just few communities to start with - cannot work with too many before and at the meeting | ||
| + | * Involve educators as a specific community | ||
| + | |||
| + | Suggested workshops: | ||
| + | *Present accomplishments in data quality area by various ACCESS and ESTO projects. | ||
| + | *Do actual data quality framework development based on inputs (if any) from the IQ cluster members | ||
==Action items== | ==Action items== | ||
For the summer meeting: | For the summer meeting: | ||
| − | * Solicit ideas for breakout sessions | + | * Send out a couple of example use cases for data quality requirements (Greg, Chris?) |
| − | * Propose more Invited speakers | + | * Solicit ideas for breakout sessions (all) |
| − | * Approach all ESIP cluster/groups/committees to start quality aspect discussions | + | * Propose more Invited speakers (all) |
| + | * Approach all ESIP cluster/groups/committees to start quality aspect discussions (Greg) | ||
For the IQ cluster: | For the IQ cluster: | ||
| − | * Suggest and invite to the IQ cluster people who might be interested in contributing | + | * Suggest and invite to the IQ cluster people who might be interested in contributing (all) |
* Identify volunteers for writing best practices in different communities | * Identify volunteers for writing best practices in different communities | ||
* Identify tangible short-term and long-term goals | * Identify tangible short-term and long-term goals | ||
* Collect references and build the IQ Knowledge Base | * Collect references and build the IQ Knowledge Base | ||
| − | * Establish telecon day/time | + | * Establish telecon day/time (Greg) |
Latest revision as of 13:53, January 6, 2011
Participants
- Gregory Leptoukh (GSFC)
- Steve Berrick (NASA HQ)
- Chris Lynnes (GSFC)
- Hook Hua (JPL)
- Scott Ritz (GSFC)
- Tyler Stevens (GSFC)
- Ethan McMahon (EPA)
- Bill Teng (GSFC)
- Peter Fox (RPI)
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 preparation)
- Semantic web cluster (to discuss data quality ontology)
- Air quality cluster
Discussions
Tuning the summer meeting tangible objectives:
- White paper(s). Formulate and consistently present user requirements for data quality
- ...
Suggested speakers:
- Eloquent representative from a user community who present a compelling story for data quality specific to her/his community. Potential candidates: Jim Hansen for Climate change; Caspar Ammann from UCAR
- Programmatic view - Martha?
- Data provider response - Wentz?
Suggested topics:
- Summarize presentations from the last AGU quality and uncertainty related sessions.
- Select just few communities to start with - cannot work with too many before and at the meeting
- Involve educators as a specific community
Suggested workshops:
- Present accomplishments in data quality area by various ACCESS and ESTO projects.
- Do actual data quality framework development based on inputs (if any) from the IQ cluster members
Action items
For the summer meeting:
- Send out a couple of example use cases for data quality requirements (Greg, Chris?)
- Solicit ideas for breakout sessions (all)
- Propose more Invited speakers (all)
- Approach all ESIP cluster/groups/committees to start quality aspect discussions (Greg)
For the IQ cluster:
- Suggest and invite to the IQ cluster people who might be interested in contributing (all)
- Identify volunteers for writing best practices in different communities
- Identify tangible short-term and long-term goals
- Collect references and build the IQ Knowledge Base
- Establish telecon day/time (Greg)
