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Preparing Earth Data Scientists for 'The Sexiest Job of the 21st Century'What Exactly do Earth Data Scientists do, and What do They Need to Know, to do It? There is not one simple answer, but there are many complex answers. Data Science, and data analytics, are new and nebulas, and takes on different characteristics depending on: The subject matter being analyzed, the maturity of the research, and whether the employed subject specific analytics is descriptive, diagnostic, discoveritive, predictive, or prescriptive, in nature. In addition, in a, thus far, business driven paradigm shift, university curriculums teaching data analytics pertaining to Earth science have, as a whole, lagged behind, andor have varied in approach.This presentation attempts to breakdown and identify the many activities that Earth Data Scientists, as a profession, encounter, as well as provide case studies of specific Earth Data Scientist and data analytics efforts. I will also address the educational preparation, that best equips future Earth Data Scientists, needed to further Earth science heterogeneous data research and applications analysis. The goal of this presentation is to describe the actual need for Earth Data Scientists and the practical skills to perform Earth science data analytics, thus hoping to initiate discussion addressing a baseline set of needed expertise for educating future Earth Data Scientists.
Document ID
20160001309
Acquisition Source
Goddard Space Flight Center
Document Type
Presentation
Authors
Kempler, Steven
(NASA Goddard Space Flight Center Greenbelt, MD United States)
Date Acquired
February 1, 2016
Publication Date
December 15, 2014
Subject Category
Geosciences (General)
Mathematical And Computer Sciences (General)
Report/Patent Number
GSFC-E-DAA-TN20274
Report Number: GSFC-E-DAA-TN20274
Meeting Information
Meeting: American Geophysical Union (AGU) Fall Meeting
Location: San Francisco, CA
Country: United States
Start Date: December 15, 2014
End Date: December 19, 2014
Sponsors: American Geophysical Union
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Keywords
data analytics
education
science data analysis
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