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Earth Science Data Analytics:
GES DISC Earth Science Data Analytics: Preparing for Extracting Knowledge from Information Steve Kempler1, Lindsay Barbieri2 1 NASA Goddard Space Flight Center, 2 The University of Vermont Earth Science Data Analytics/Science Skills Needed: Overall Experiences /Operational Needs A Student’s Journey into Earth Science Data & Information Earth Science = lots of data: interdisciplinary & heterogeneous Both, data science and data analytics require very similar skill sets My view of what Earth Science General Experiences Skills Tools and techniques Knowledge in particular science domains Operational Needs Making data more useful Know the territory Know how to apply the techniques to the discipline Repeated Exposure Sharing of Vocabulary Finding Resources & Help Communication w/ Community What the Universities Offer (July, 2016 study and comparison with 2013 Study) What Else Universities Should Consider Offering What Universities are Offering In 3 years, programs have increased in number, some more interdisciplinary and specialized, and much more refined in providing a broader range of relevant courses. Still Needed Overall coursework addresses most techniques needed Some still not evident Most skills not taught: data life cycle; integrating data; … Confirms: Earth science program should include data science/ analytics training (Fox, others) Question: What do university level Data Analytics/Science Programs focus on? Methodology: Surveyed 167 universities, 267 programs; Categorized program; Surveyed curriculums; …; Compare to 2013 survey; Compare to ‘real world’ Number of Degree Programs Pertaining to Data Analytics/Science
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