Difference between revisions of "Earth Science Data Analytics/2016-8-18 Telecon"

From Earth Science Information Partners (ESIP)
Line 32: Line 32:
 
- Prototype
 
- Prototype
  
Have a sandbox for using the tools
+
- Have a sandbox for using the tools
  
List DA projects that people are working on
+
- List DA projects that people are working on
  
List potential problems that DA could be applied to
+
- List potential problems that DA could be applied to
  
List challenges to doing more DA
+
- List challenges to doing more DA
  
List potential solutions to the challenges
+
- List potential solutions to the challenges
  
Move from tabular data to data visualization
+
- Move from tabular data to data visualization
  
  
Line 48: Line 48:
 
We can also become more involved with interagency work:
 
We can also become more involved with interagency work:
  
Intro/background related to Earth system science
+
- Intro/background related to Earth system science
  
Current EPA/ORD/Earth science related work - Infrastructure, Analytics
+
- Current EPA/ORD/Earth science related work - Infrastructure, Analytics
  
Intra-agency work/potential collaborations:  EPA/CDC ecological niche modeling of vector borne diseases potential project;  NASA/NOAA/USGS/EPA CyAN project;  EPA/Chesbay Conservancy automated visual recognition projects
+
- Intra-agency work/potential collaborations:  EPA/CDC ecological niche modeling of vector borne diseases potential project;  NASA/NOAA/USGS/EPA CyAN project;  EPA/Chesbay Conservancy automated visual recognition projects
  
Tools/techniques discussion/update
+
- Tools/techniques discussion/update
  
 
   
 
   
Line 63: Line 63:
 
-          Invite and drill into projects already utilizing data analytics (e.g.,EPA Projects)
 
-          Invite and drill into projects already utilizing data analytics (e.g.,EPA Projects)
 
   
 
   
 +
 
1.      Tiffany:  Focus on what individuals are working on that use particular ESDA techniques.  Should be Use Case driven.  Bring light to tool/technique via use case.  Would need to choose candidates
 
1.      Tiffany:  Focus on what individuals are working on that use particular ESDA techniques.  Should be Use Case driven.  Bring light to tool/technique via use case.  Would need to choose candidates
 
   
 
   
Line 69: Line 70:
 
2A. Joan:  Look at what other ESIP Clusters are doing that can be helpful.  For example, talk to Dave Jones, Disaster Cluster, about the data analytics he is utilizing.
 
2A. Joan:  Look at what other ESIP Clusters are doing that can be helpful.  For example, talk to Dave Jones, Disaster Cluster, about the data analytics he is utilizing.
  
      Shea: Brought up Chris Mattman’s SciSpark talk.
+
Shea: Brought up Chris Mattman’s SciSpark talk.
  
      Can we be the conduit between ESIP ESDA tool interests (e.g., SciSPark) and heterogeneous data innsue (e.g., Disaster Data).  This may be a good prototype that might experimentally benefit both groups, and be exemplary for further such prototyping.
+
Can we be the conduit between ESIP ESDA tool interests (e.g., SciSPark) and heterogeneous data innsue (e.g., Disaster Data).  This may be a good prototype that might experimentally benefit both groups, and be exemplary for further such prototyping.
 
   
 
   
 
Also, let’s take the opportunity to entice others interested in ESDA technologies
 
Also, let’s take the opportunity to entice others interested in ESDA technologies
Line 93: Line 94:
  
 
===Actions:===
 
===Actions:===
 
1. All: From the Techniques/Goals/Types matrix (https://docs.google.com/spreadsheets/d/1Xg4zYqAqrfu6NMdQtTYJn50J8kXpjpQBC0exX3XYOVQ/edit#gid=0)...
 
 
Go down ESDA Type columns entitled:  Data Preparation, Data Reduction, and Data Analysis, and delete the techniques (starting on row 16) that can NOT be applied to that column ESDA type.  Thus, the techniques that remain, are those that CAN be applied to that column ESDA type.  If you are not sure what the technique is, please see technique descriptions at the Google Spreadsheet:  https://docs.google.com/spreadsheets/d/1Xv8qySG4k6p8Y3rOYLonWlahwKPT86MCuJoIT3wske8/edit#gid=0    starting on line 33.
 
 
Please ask for permission to edit.  So that we don't edit over each other, please download a copy to edit, and send back to Steve, or ask Steve to send you a copy to edit.
 
 
Please spend a little time and provide back by Friday, June 24.  That would be great.
 
 
Step 2 would be mapping techniques to goals. More to come on this.
 
 
 
2. All - For our Cluster face to face in Durham:  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.
 

Revision as of 23:05, September 12, 2016

ESDA Telecon notes – 8/18/16

Known Attendees:

ESIP Hosts (Annie Burgess), Steve Kempler, Emily Northup, Beth Huffer, Byron Peters, Lindsay Barbieri, Chung-Lin Shie, Shea Caspersen, Annie Burgess, Tiffany Mathews, Angela Li, Robert Downs, Joan Aron, Tripp Corbett


Agenda:

Agenda

1. Next steps for ESDA Cluster

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


Presentations:

None


Notes:

Thank you all for attending and participating in our telecon


For the topic, where can ESDA Cluster go from here, the following ideas were floated, consistent with our goals:

- Validate our work

- Prototype

- Have a sandbox for using the tools

- List DA projects that people are working on

- List potential problems that DA could be applied to

- List challenges to doing more DA

- List potential solutions to the challenges

- Move from tabular data to data visualization


We can also become more involved with interagency work:

- Intro/background related to Earth system science

- Current EPA/ORD/Earth science related work - Infrastructure, Analytics

- Intra-agency work/potential collaborations: EPA/CDC ecological niche modeling of vector borne diseases potential project; NASA/NOAA/USGS/EPA CyAN project; EPA/Chesbay Conservancy automated visual recognition projects

- Tools/techniques discussion/update


Other moving forward thoughts:

- What tools /techniques can we address first? What problem to solve

- Invite and drill into projects already utilizing data analytics (e.g.,EPA Projects)


1. Tiffany: Focus on what individuals are working on that use particular ESDA techniques. Should be Use Case driven. Bring light to tool/technique via use case. Would need to choose candidates

2. Protoype: Utilize a ESDA tool to solve a data problem. Could have breakout groups to look at different tools/technique

2A. Joan: Look at what other ESIP Clusters are doing that can be helpful. For example, talk to Dave Jones, Disaster Cluster, about the data analytics he is utilizing.

Shea: Brought up Chris Mattman’s SciSpark talk.

Can we be the conduit between ESIP ESDA tool interests (e.g., SciSPark) and heterogeneous data innsue (e.g., Disaster Data). This may be a good prototype that might experimentally benefit both groups, and be exemplary for further such prototyping.

Also, let’s take the opportunity to entice others interested in ESDA technologies

Also, let’s provde a activity slide for Annie for SciDataCon (Steve can do this)


Next Meeting:

September 15, 2016


Agenda:

1. Next Steps

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


Actions: