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10.1093/biosci/bix025 http://scihub22266oqcxt.onion/10.1093/biosci/bix025 C5451289!5451289!28584342     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=28584342&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215 Deprecated: Implicit conversion from float 231.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Bioscience 2017 ; 67 (6): 546-57 Nephropedia Template TP {{tp|p=28584342|t=2017. Skills and Knowledge for Data-Intensive Environmental Research |pdf=|usr=}}{{28584342}} gab.com Text Skills and Knowledge for Data-Intensive Environmental Research JO: Bioscience http://www.kidney.de/pget.php?&tw=1&pmid=28584342 #FOAvip 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. Twit Text FOAVip Skills and Knowledge for Data-Intensive Environmental Research ????Bioscience http://www.kidney.de/pget.php?&tw=1&pmid=28584342 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28584342 #FOAvip English Wikipedia <ref>{{Cite pmid|28584342}}</ref> 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): 546-57 PMID28584342show 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. äSkills and Knowledge for Data-Intensive Environmental Research (epmc).pdf DeepDyve Pubget Overpricing