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Skills and Knowledge for Data-Intensive Environmental Research.

Stephanie E Hampton1, Matthew B Jones1, Leah A Wasser1

  • 1Stephanie E. Hampton (s.hampton@wsu.edu) is affiliated with the Center for Environmental Research, Education and Outreach at Washington State University, in Pullman. Matthew B. Jones is affiliated with the National Center for Ecological Analysis and Synthesis at the University of California, Santa Barbara. Leah A. Wasser is affiliated with EarthLab at the University of Colorado, in Boulder. Mark P. Schildhauer is with the National Center for Ecological Analysis and Synthesis at the University of California, Santa Barbara. Sarah R. Supp is affiliated with the University of Maine's School of Biology and Ecology, in Orono. Julien Brun is with the National Center for Ecological Analysis and Synthesis at the University of California, Santa Barbara. Rebecca R. Hernandez is affiliated with the Land, Air, and Water Resources Department at the University of California, Davis; with the Energy and Resources Group at the University of California, Berkeley; and with the Climate and Carbon Science Program at the Lawrence Berkeley National Lab, in Berkeley, California. Carl Boettiger is affiliated with the Department of Environmental Science, Policy, and Management at the University of California, Berkeley. Scott L. Collins is with the Department of Biology at the University of New Mexico, in Albuquerque. Louis J. Gross is affiliated with the Departments of Ecology and Evolutionary Biology and Mathematics at the University of Tennessee, in Knoxville. Denny S. Fernández is with the Department of Biology at the University of Puerto Rico at Humacao. Amber Budden is affiliated with DataONE at the University of New Mexico, in Albuquerque. Ethan P. White is with the Department of Wildlife Ecology and Conservation and The Informatics Institute at the University of Florida, in Gainesville. Tracy K. Teal is affiliated with Data Carpentry, in Davis, California. Stephanie G. Labou is with the Center for Environmental Research, Education and Outreach, at Washington State University, in Pullman. Juliann E. Aukema is affiliated with the National Center for Ecological Analysis and Synthesis at the University of California, Santa Barbara.

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Summary
This summary is machine-generated.

Environmental scientists need enhanced computational skills for data-intensive research. This study outlines a roadmap and key skills for improving data competencies in current and future researchers.

Keywords:
computingdata managementecologyinformaticsworkforce development

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Area of Science:

  • Environmental Science
  • Computational Science

Background:

  • Complex environmental issues necessitate integrative, reproducible, data-intensive research.
  • Rapid technological change has created a skills gap in computational methods for environmental scientists.

Purpose of the Study:

  • To provide a roadmap for enhancing data competencies among environmental researchers.
  • To identify essential computational skills for engaging with large, diverse environmental datasets.

Main Methods:

  • Articulated five key skill areas: data management/processing, analysis, software skills, visualization, and communication.
  • Reviewed existing training initiatives and proposed models for skill transfer.

Main Results:

  • Identified five critical skill domains for data-intensive environmental research.
  • Assessed current training landscape and proposed strategies to bridge the skill gap.

Conclusions:

  • Addressing the computational skills gap is crucial for advancing environmental science.
  • A structured approach to training is needed to equip researchers for data-intensive challenges.