Earth Science Data Analytics/2015-2-5 Telecon

ESDA Telecom notes – 2/5/15

Known Attendees:

ESIP Host (Nancy Hoebelheinrich), Steve Kempler, Chung-lin Shie, Thomas Hearty, Tiffany Mathews, Ethan McMahon, Robert Downs, Brand Niemann, Ethan Davis, Jennifer Wei, Liping Di, Radina Soebiyanto, Robert Casey, Sara Graves, Joan Aron

Agenda:

1. Discuss Use Case Information Needed.

Continuing our face to face at ESIP, we decided to build a library of Earth science data analytics use cases, but first needed to ensure the information requested was clear and appropriate. I created a Google Spreadsheet open for review and comments. Besides the folks who, at the face-to-face, signed up to spend a little time to review and provide inputs on the spreadsheet, if others wish to be involved in editing, please send me an e-mail.

2. Discuss next ESIP Meeting theme

Earth Science Data Analytics. Let’s continue the discussion started in January to help the meeting organizers with gathering speakers, themes orientation for the rest of the Federation, etc. I will know more before Thursday.

3. Open Mic

Presentations:

None, this time. Worked off Google Doc: Use Case Information: https://docs.google.com/spreadsheets/d/108glVB8Rni8M47e5G1_oZ6g1q5AOxzdTbC_P2WrEt6o/edit#gid=0

Notes:

Thank you all for attending.

Today, agenda topic number 1 captured the bulk of time during our telecon. We had a very good discussion describing and discussing the information we should pursue when collecting Earth Science Data Analytics use cases. We examines the categories that we had come up with and the categories utilize by the NIST Big Data Use Case gathering effort (see: We acknowledged that we may be asking for more information that is available in our use cases, but that is OK: Steve consolidated inputs in the aforementioned Google Doc.

Providing examples, use cases, and additional understanding is highly encouraged.

Please contact Steve

We next talked about our two sessions at the Federation Meeting, in January

1 - Earth Science Data Analytics 101:

Purpose: To ‘educate’ ESIP community on what Earth Science Data Analytics means, and provide exemplary use cases.

Cluster Goal: Bring in speakers to provide their Data Analytics Use Cases to stir innovation juices that can generate ideas/techniques/collaborations/etc. that can facilitate/aid usage of data analytics

Draft Agenda:

- Introduction to Earth science data analytics – (15 min)

- 3 or 4 use case speakers (10-15 min each) I have 2 already…any suggestions

- Current Data Analytics technologies useful in Earth science (15 min)

- Panel – Q&A (all speakers)

Excellent suggestions were made to ensure speakers targeted our interest in learning how they perform data analytics in their research.

2 - Earth Science Data Analytics 201:

Purpose: To scope a study that would meaningfully benefit the ESIP and broad community; Develop an outline for the study

Cluster Goal: Discuss: Publish our findings; Generate a library of Data Analytic methodologies

Discussion and work breakout. This is where we will further discuss and develop a more detailed outline for a paper that describes Earth science data analytics methodologies. It seems the bulk of our research at this time would be gathering and characterizing use cases. This lead to the possibility of creating an Earth science data analytics library of such methodologies.

More to come. Be a part of some ground breaking work

The following was provided to initiate discussion of such a paper:

1. Take what we learn, refine, and define about the different types of Data Analytics

- Descriptive Analytics - Diagnostic Analytics - Discoveritive Analytics - Predictive Analytics - Prescriptive Analytics

2. Associate exemplary Earth science use cases to each type

3. Associate Data Analytics techniques/tools to each type

4. Associate user categories to each type

5. Describe skills and expertise needed for each type

- Currently, we talk about our expertise and experience, but they seldom seem to connect to each other

- This will help us, the industry, and hopefully, educators, focus their understanding and interests regarding Earth Science Data Analytics.

REMINDER: AGU sessions that pertain to Data Analytics:

- Teaching Science Data Analytics Skills Needed to Facilitate Heterogeneous Data/Information Research: The Future Is Here - Session ID#: 1879

- Identifying and Better Understanding Data Science Activities, Experiences, Challenges, and Gaps Areas - Session ID#: 1809

- Advancing Analytics using Big Data Climate Information System - Session ID#: 3022

- Big Data in the Geosciences: New Analytics Methods and Parallel Algorithm - Session ID#: 3292

- Leveraging Enabling Technologies and Architectures to enable Data Intensive Science - Session ID#: 3041

- Open source solutions for analyzing big earth observation data - Session ID#: 3080

- Technology Trends for Big Science Data Management - Session ID#: 2525

Next Telecon:

No telecon. Face to face January 7 at the Federation Meeting in Washington

Agenda: See planned sessions above