Difference between revisions of "Earth Science Data Analytics/2016-3-17 Telecon"

From Earth Science Information Partners (ESIP)
(Created page with "ESDA Telecon notes – 3/17/16 ===Known Attendees:=== ESIP Hosts (Annie Burgess, Erin Robinson), Steve Kempler, Lindsay Barberie, Chung-Lin Shie, Robert Downs, Beth Huffer, ...")
 
Line 10: Line 10:
 
Agenda
 
Agenda
  
1.  ESIP Cluster 20th telecon; ESDA Review
+
1.  Tools and Techniques – How can we best organize the plethora of tools and techniques we have uncovered?
 +
 
 +
2.  Open Mic – What else should we be addressing?
  
  
 
Presentations:
 
Presentations:
  
* [[Media: Telecon XX Feb16.pdf |  Steve Kempler: Earth Science Data Analytics (ESDA) Telecon XX (that would be 20) - 2/18/16]]
+
* Reviewed tools/techniques matrix
  
  
Line 22: Line 24:
  
 
Thank you all for attending and participating in our telecon.   
 
Thank you all for attending and participating in our telecon.   
 +
 +
The objective of today's telecon was to begin putting our arms around the huge number of ESDA related tools and techniques, and associate them with:  1.  ESDA types, and; 2. ESDA goals.  Beth made an excellent suggestion that this work may be related to efforts of the ESIP ToolMatch group  (Associates tools with dat sets that can use the tools.  Specifically, our work may yield tool requirements ('rules') that a dataset needs to conform to so the dataset can be mapped to tools.  That is, what structure data needs to have to be useable by tools. For example, some tools need gridded data with lat and lon.  This would be very good input for ToolMatch.
  
  

Revision as of 15:29, March 21, 2016

ESDA Telecon notes – 3/17/16

Known Attendees:

ESIP Hosts (Annie Burgess, Erin Robinson), Steve Kempler, Lindsay Barberie, Chung-Lin Shie, Robert Downs, Beth Huffer, Liping Di


Agenda:

Agenda

1. Tools and Techniques – How can we best organize the plethora of tools and techniques we have uncovered?

2. Open Mic – What else should we be addressing?


Presentations:

  • Reviewed tools/techniques matrix


Notes:

Thank you all for attending and participating in our telecon.

The objective of today's telecon was to begin putting our arms around the huge number of ESDA related tools and techniques, and associate them with: 1. ESDA types, and; 2. ESDA goals. Beth made an excellent suggestion that this work may be related to efforts of the ESIP ToolMatch group (Associates tools with dat sets that can use the tools. Specifically, our work may yield tool requirements ('rules') that a dataset needs to conform to so the dataset can be mapped to tools. That is, what structure data needs to have to be useable by tools. For example, some tools need gridded data with lat and lon. This would be very good input for ToolMatch.


To Do List:

Done:

1. Finalize ESDA Definition and Goal categories

2. Write letter to ESIP Executive Committee proposing that the ESDA Definitions and Goal categories be ESIP approved

3. Characterize use cases by Goal categories and other analytics driving considerations

4. Derive requirements from #3

Underway:

5. Further validate requirements with (many) more additional use cases

6. Survey existing data analytics tools/techniques

7. Write our paper describing ... all the above


Questions to think about:

What is the best way to record use cases, and associated requirements, and matching tools? A forum?


Next Telecon:

March 17, 2016 ESDA Telecon XXI


Agenda:

Agenda

1. Tools and Techniques – How can we best organize the plethora of tools and techniques we have uncovered?

2. Open Mic – What else should we be addressing?


Actions:

1. Brian and Chung-Lin - Please identify one or two multi-data researchers who would be willing to provide insights into their experiences and needs for accessing and preparing data for co-analysis of heterogeneous data. Let's invite them to our March telecom for an informal discussion. (If we can get 3 to 5 people, we can have a 'panel' Q&A session)

2. Steve, others to be contacted: Complete categorization of all identified ESDA tools/techniques by Data Preparation, Data Reduction, and Data Analysis. (https://docs.google.com/spreadsheets/d/1zMczlWZnQUiubyfcLjwDIQ-SGm7Sm5C2Wo9bc75V-qk/edit#gid=0)