Difference between revisions of "Earth Science Data Analytics"
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===Resources=== | ===Resources=== | ||
− | + | Telecom Presentations [[Earth Science Data Analytics/2014-03-20_Telecon|Telecom Presentations]]<br> | |
* [[Media: NIST_WoChang_BigData.ppt|NIST Big Data Presentation-2/20/14]] | * [[Media: NIST_WoChang_BigData.ppt|NIST Big Data Presentation-2/20/14]] | ||
* [http://semanticommunity.info/Data_Science/ESIP_Earth_Sciences_Data_Analytics#Guest_Speaker Brand's Presentation-3/20/14] | * [http://semanticommunity.info/Data_Science/ESIP_Earth_Sciences_Data_Analytics#Guest_Speaker Brand's Presentation-3/20/14] |
Revision as of 15:57, March 31, 2014
Mission:
To promote a common understanding of the usefulness of, and activities that pertain to, Data Analytics and more broadly, the Data Scientist, and facilitate collaborations between organizations that seek new ways to better understand the cross usage of heterogeneous datasets and organizations/individuals who can provide accommodating data analytics expertise, now and as the needs evolve into the future. And identify gaps that, once filled, will further collaborative activities.
Objectives
- 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
ResourcesTelecom Presentations Telecom Presentations |
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What links here: Earth Science Data Analytics
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