Earth Science Data Analytics/2014-04-17 Telecon

SDA Telecom notes – 4/17/14

Known Attendees:

Will be provided soon

Agenda:

1 – Present new Cluster Information Sharing Webasites -Steve

Introduction to the Earth Science Data Analytics Discussion Forum - http://wiki.esipfed.org/index.php/Earth_Science_Data_Analytics/Discussion_Forum Introduction to the Use Case Collection webpage - http://wiki.esipfed.org/index.php/Use_Case_Collection

2 – Joan Aron – To Present: Data Analytics Needs Scenario

3 – Rudy Husar – To present: User-Oriented Data Analytics and Tools in DataFed

4 – Tiffany Matthews – To lead discussion:

'enabling users to leverage data to observe more phenomena than what can be identified when studying an average'.

Tiffany will initiate discussion with her presentation entitled: " Atmospheric Science Data Center Sample Data Analytics Use Cases."

Presentations:

Notes:

From March 20th Telecom:

Today, from Joan, Rudy, and Tiffany, we received three excellent, insightful presentations regarding the need of data analytics from a user perspective, and a data discovery perspective, as well as useful tools that can help the data user. Please give them a look via the links above.

The ESDA Discussion Forum is open for topic requests, ideas, references, and continued telecom discussion - http://wiki.esipfed.org/index.php/Earth_Science_Data_Analytics/Discussion_Forum

Highlights from Joan's presentation:
- Provides an end user perspective for data analytics tools/technique needs: Risk Analysis, trends of Near Real Time data
- Need for linking continuous data from various sources
- Use case: Linking Climate and Ar Quality

Highlights from Rudy's presentation:
- Also, provides an end user perspective for Air Quality Decision Systems needed analytics
- DataFed provides a shared data pool (multiple sources), data browser, event screening, data and trend analysis

Highlights from Tiffany's presentation
- From the data provider point of view, provides this excellent perspective: "enable users to leverage data to observe more phenomena than what can be identified by studying an average
- Discussed dataset inter-calibrarions, inter-comparisons, finding data that is meaningful, and being able to analyze original source data associated with higher level data of interest.

Tiffany next lead a discussion to answer the following questions:

1. What are your most time consuming data tasks that can leverage analytics?
2. Identify and discuss different types of analytics
3. What kind of data analytics is needed for specific use cases?
4. Identify tools and technologies that address different types of analytics

This is the figure (I believe) Rudy was alluding to:

 Time ran out to discuss the third agenda item. This will be discussed at the next telecom (April 17), and provided here for your contemplation: ESDA Activity - Compile use cases (include producer/supplier and data user analytics utilization) - Need 2 to 4 owners - Compile analytics tools (internal and external to ESIP) – Need 2 to 4 owners (preferably different) - Do gap analysis – Need to 2 to 4 owners (different or some from above groups)

And Potential Future Activities (as of today) - Examine project long case studies to determine successfulness of using data analytics in the project (i.e., lessons learned) - Oh yeah: Create a Cluster Mission Statement and Objectives - Report out to the Federation All

Next Telecon:

May 15, 3:00 EST (third Thursday of each month)
Agenda (as of now)

- Listen and Learn - We will have 2 guest speakers to discuss their Analytics activities

- Continued discussion from last telecom: Types of Analytics, and Tools/Techniques best suited for each type

- ESDA Activities - Use Case Collection webpage - http://wiki.esipfed.org/index.php/Use_Case_Collection