Difference between revisions of "Earth Science Collaboratory User Model"

From Earth Science Information Partners (ESIP)
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* Graduate Student Researchers
 
* Graduate Student Researchers
** ''Salient Characteristics'': May not be well versed in the field ''yet'', but is motivated to learn it eventually. <br>
+
** ''Salient Characteristics'': May not be well versed in the field ''yet'', but have the motivation, time and necessity to learn it eventually. <br>
 
** ''Key Needs'':  learn analysis techniques from more experienced users in the field. See what developments are going on in the field as a whole.
 
** ''Key Needs'':  learn analysis techniques from more experienced users in the field. See what developments are going on in the field as a whole.
  

Revision as of 12:25, October 9, 2012

Research Users

  • Research Scientists (Intradisciplinary)
    • Salient Characteristics: Well-versed in their own field and the available tools
    • Key Needs: share analysis results within projects
  • Research Scientists (Interdisciplinary/Cross-disciplinary)
    • Salient Characteristics: Well-versed in their own field but not necessarily in the Earth science discipline the data are from. May or may not have the time to learn it.
    • Key Needs: access to experts and/or expertise in the other discipline. Access to data quality info in an accessible form.
  • Graduate Student Researchers
    • Salient Characteristics: May not be well versed in the field yet, but have the motivation, time and necessity to learn it eventually.
    • Key Needs: learn analysis techniques from more experienced users in the field. See what developments are going on in the field as a whole.
  • Citizen Scientists
    • Salient Characterists: May be lacking in background science knowledge regarding data, but interested in learning about it if the process can be gradual.
    • Key Needs: Science "stories" about interesting phenomena that progress logically from data to final result.
  • Peer Reviewers

Applications Users

  • Applications Researchers
  • Applications Analysts
  • Decision Support Systems
  • Applications Decision-makers

Educational Users

  • College educators
  • K-12 educators
  • Museums

Other Users

  • Program Managers / Executives
    • Salient Characteristics: main job is maximizing science return of program investments
    • Key Needs: Determine the science return of tools and data