Difference between revisions of "Earth Science Data Analytics/2016 Plan"
From Earth Science Information Partners (ESIP)
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===Collaboration Area Objective:=== | ===Collaboration Area Objective:=== | ||
| − | + | * Provide a forum for ‘Academic’ discussions that allow ESIP members to be better educated and on the same page in understanding the various aspects of Data Analytics | |
| − | + | * Bring in guest speakers to describe overviews of external efforts and further teach us about the broader use of Data Analytics. | |
| − | + | * Perform activities that: | |
--- Compile use cases generated from specific community needs to cross analyze heterogeneous data (could be ESIP members or external) | --- Compile use cases generated from specific community needs to cross analyze heterogeneous data (could be ESIP members or external) | ||
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--- Document the specific data analytics expertise needed in above collaborations | --- Document the specific data analytics expertise needed in above collaborations | ||
| − | + | * Seek graduate data analytics/ Data Science student internship opportunities | |
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===Things we may do to fulfill our objectives:=== | ===Things we may do to fulfill our objectives:=== | ||
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===Things our collaboration area needs to deliver our objectives?=== | ===Things our collaboration area needs to deliver our objectives?=== | ||
''(e.g. Partnerships, in-kind support, staff support)'' | ''(e.g. Partnerships, in-kind support, staff support)'' | ||
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===How will we know we are on the right track?=== | ===How will we know we are on the right track?=== | ||
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===How will others know what we are doing in & out of ESIP?=== | ===How will others know what we are doing in & out of ESIP?=== | ||
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==== Cross-collaboration area connections ==== | ==== Cross-collaboration area connections ==== | ||
(Identify other areas that you consider cross collaboration. Are there things that you need us to provide in support the cross collaboration?) | (Identify other areas that you consider cross collaboration. Are there things that you need us to provide in support the cross collaboration?) | ||
[[category:2016Plan]]</nowiki> | [[category:2016Plan]]</nowiki> | ||
Revision as of 15:43, March 18, 2016
ESIP ESDA Collaboration Area Strategic Plan 2016
- Co-Chair (s): Steve Kempler, Tiffany Mathews
- Website (wiki): http://wiki.esipfed.org/index.php/Earth_Science_Data_Analytics
- Monthly Meeting Day/Time: 3rd Thursday, 3:00 Eastern Time
ESIP Vision
To be a leader in promoting the development, implementation, and deployment of Earth science data analytics tools/techniques that facilitate gleaning knowledge from Earth science data and information.
2015-2020 Strategic Plan Goals
- Educate ESIP members on the significance and future development growth of Data Analytics
- Compile and categorize existing ESDA tools/techniques according to ESDA defined types and goals
- Provide a comprehensive gap analysis between ESDA needs and available tools/techniques
- Create a path for Information technologists to develop needed, but unavailable, ESDA tools/techniques that increase the use and value of Earth science data and information
- Seek graduate data analytics/ Data Science student internship opportunities
Resources:
2015-2020 Strategic Plan Executive Summary
Strategic Plan Roadmap
Collaboration Area Plan
Collaboration Area Objective:
- Provide a forum for ‘Academic’ discussions that allow ESIP members to be better educated and on the same page in understanding the various aspects of Data Analytics
- Bring in guest speakers to describe overviews of external efforts and further teach us about the broader use of Data Analytics.
- Perform activities that:
--- Compile use cases generated from specific community needs to cross analyze heterogeneous data (could be ESIP members or external)
--- Compile experience sources on the use of analytics tools, in particular, to satisfy the needs of the above data users (also, could be ESIP members or external)
--- Examine gaps between needs and expertise
--- Document the specific data analytics expertise needed in above collaborations
- Seek graduate data analytics/ Data Science student internship opportunities
Things we may do to fulfill our objectives:
Things our collaboration area needs to deliver our objectives?
(e.g. Partnerships, in-kind support, staff support)
How will we know we are on the right track?
How will others know what we are doing in & out of ESIP?
Cross-collaboration area connections
(Identify other areas that you consider cross collaboration. Are there things that you need us to provide in support the cross collaboration?)</nowiki>
