Our path to better science in less time using open data science tools

被引:179
|
作者
Lowndes, Julia S. Stewart [1 ]
Best, Benjamin D. [2 ]
Scarborough, Courtney [1 ]
Afflerbach, Jamie C. [1 ]
Frazier, Melanie R. [1 ]
O'Hara, Casey C. [1 ]
Jiang, Ning [1 ]
Halpern, Benjamin S. [1 ,3 ,4 ]
机构
[1] Univ Calif Santa Barbara, Natl Ctr Ecol Anal & Synth, Santa Barbara, CA 93101 USA
[2] EcoQuants Com, Santa Barbara, CA 93103 USA
[3] Univ Calif Santa Barbara, Bren Sch Environm Sci & Management, Santa Barbara, CA 93177 USA
[4] Imperial Coll London, Silwood Pk Campus, Ascot SL5 7PY, Berks, England
来源
NATURE ECOLOGY & EVOLUTION | 2017年 / 1卷 / 06期
关键词
CODE; HEALTH;
D O I
10.1038/s41559-017-0160
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Reproducibility has long been a tenet of science but has been challenging to achieve-we learned this the hard way when our old approaches proved inadequate to efficiently reproduce our own work. Here we describe how several free software tools have fundamentally upgraded our approach to collaborative research, making our entire workflow more transparent and streamlined. By describing specific tools and how we incrementally began using them for the Ocean Health Index project, we hope to encourage others in the scientific community to do the same-so we can all produce better science in less time.
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收藏
页数:7
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