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2017 ; 67
(6
): 546-557
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Skills and Knowledge for Data-Intensive Environmental Research
#MMPMID28584342
Hampton SE
; Jones MB
; Wasser LA
; Schildhauer MP
; Supp SR
; Brun J
; Hernandez RR
; Boettiger C
; Collins SL
; Gross LJ
; Fernández DS
; Budden A
; White EP
; Teal TK
; Labou SG
; Aukema JE
Bioscience
2017[Jun]; 67
(6
): 546-557
PMID28584342
show ga
The scale and magnitude of complex and pressing environmental issues lend urgency
to the need for integrative and reproducible analysis and synthesis, facilitated
by data-intensive research approaches. However, the recent pace of technological
change has been such that appropriate skills to accomplish data-intensive
research are lacking among environmental scientists, who more than ever need
greater access to training and mentorship in computational skills. Here, we
provide a roadmap for raising data competencies of current and next-generation
environmental researchers by describing the concepts and skills needed for
effectively engaging with the heterogeneous, distributed, and rapidly growing
volumes of available data. We articulate five key skills: (1) data management and
processing, (2) analysis, (3) software skills for science, (4) visualization, and
(5) communication methods for collaboration and dissemination. We provide an
overview of the current suite of training initiatives available to environmental
scientists and models for closing the skill-transfer gap.