Difference between revisions of "Earth Science Data Analytics/2016 Plan"
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− | + | =ESIP ESDA Collaboration Area Strategic Plan 2016= | |
− | * Co-Chair (s): | + | |
− | * Website (wiki): | + | * Co-Chair (s): Steve Kempler, Tiffany Mathews |
− | * Monthly Meeting Day/Time: | + | * Website (wiki): http://wiki.esipfed.org/index.php/Earth_Science_Data_Analytics |
+ | * Monthly Meeting Day/Time: 3rd Thursday, 3:00 Eastern Time | ||
==ESIP Vision== | ==ESIP Vision== | ||
− | To be a leader in promoting the | + | 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== | ==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: | Resources: | ||
Line 17: | Line 19: | ||
==Collaboration Area Plan== | ==Collaboration Area Plan== | ||
===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 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 we may do to fulfill our objectives:=== | ||
+ | |||
+ | * Continue to provide an 'academic' atmosphere for ESIP members to learn about ESDA, in particular, at ESIP meeting cluster sessions | ||
+ | |||
+ | * Continue to engage guest speakers with expertise that can provide the ESIP community with a better understanding of: Data/information analytics needs, ESDA methodologies currently being utilized, and careers in data analytics | ||
+ | |||
+ | * Collaborate with, or otherwise be cognizant of, other information science activities and organizations, addressing the same issues as we are regarding the understanding and development of ESDA | ||
+ | |||
+ | * Brainstorm other activities that can more effectively trigger the development and usability of ESDA tools and techniques | ||
+ | |||
+ | * Collaborate with ESDA educators in supporting the development of curriculums that teach data analytics pertaining to Earth science | ||
+ | |||
+ | |||
+ | |||
===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)'' | ||
+ | |||
+ | * Data and Information users who can describe how they use large heterogeneous data in their research, applications, etc. | ||
+ | |||
+ | |||
===How will we know we are on the right track?=== | ===How will we know we are on the right track?=== | ||
+ | |||
+ | * If we can determine and document a gap analysis (described above), we are on the right track | ||
+ | |||
+ | * If we can articulate requirements for tools/techniques, that currently do not exist, and that satisfy a group of users, then we are really on the right track (First time, any decent number of users would be good) | ||
+ | |||
+ | * If ESIP partners, singly or in collaboration, can implement and deploy tools that satisfy user requirements, then we have reached nirvana | ||
+ | |||
+ | |||
===How will others know what we are doing in & out of ESIP?=== | ===How will others know what we are doing in & out of ESIP?=== | ||
+ | |||
+ | * ESIP Federation could publicly endorse the work | ||
+ | |||
+ | * Publish | ||
+ | |||
+ | |||
==== 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?) | ||
+ | |||
+ | * MatchTool, Interoperability and Technology, maybe Discovery | ||
[[category:2016Plan]]</nowiki> | [[category:2016Plan]]</nowiki> |
Latest revision as of 16:23, 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:
- Continue to provide an 'academic' atmosphere for ESIP members to learn about ESDA, in particular, at ESIP meeting cluster sessions
- Continue to engage guest speakers with expertise that can provide the ESIP community with a better understanding of: Data/information analytics needs, ESDA methodologies currently being utilized, and careers in data analytics
- Collaborate with, or otherwise be cognizant of, other information science activities and organizations, addressing the same issues as we are regarding the understanding and development of ESDA
- Brainstorm other activities that can more effectively trigger the development and usability of ESDA tools and techniques
- Collaborate with ESDA educators in supporting the development of curriculums that teach data analytics pertaining to Earth science
Things our collaboration area needs to deliver our objectives?
(e.g. Partnerships, in-kind support, staff support)
- Data and Information users who can describe how they use large heterogeneous data in their research, applications, etc.
How will we know we are on the right track?
- If we can determine and document a gap analysis (described above), we are on the right track
- If we can articulate requirements for tools/techniques, that currently do not exist, and that satisfy a group of users, then we are really on the right track (First time, any decent number of users would be good)
- If ESIP partners, singly or in collaboration, can implement and deploy tools that satisfy user requirements, then we have reached nirvana
How will others know what we are doing in & out of ESIP?
- ESIP Federation could publicly endorse the work
- Publish
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?)
- MatchTool, Interoperability and Technology, maybe Discovery</nowiki>