Open Science principles for accelerating trait-based science across the Tree of Life.,Nature Ecology & Evolution

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Open Science principles for accelerating trait-based science across the Tree of Life.
Nature Ecology & Evolution ( IF 13.9 ) Pub Date : 2020-02-17 , DOI: 10.1038/s41559-020-1109-6
Rachael V Gallagher ₁ , Daniel S Falster ₂ , Brian S Maitner ₃ , Roberto Salguero-Gómez _{4,

5,

6} , Vigdis Vandvik _{7,

8} , William D Pearse ₉ , Florian D Schneider , Jens Kattge _{10,

11} , Jorrit H Poelen , Joshua S Madin ₁₂ , Markus J Ankenbrand _{13,

14,

15} , Caterina Penone ₁₆ , Xiao Feng ₃ , Vanessa M Adams ₁₇ , John Alroy ₁ , Samuel C Andrew ₁₈ , Meghan A Balk ₁₉ , Lucie M Bland ₂₀ , Brad L Boyle ₃ , Catherine H Bravo-Avila _{21,

22} , Ian Brennan ₂₃ , Alexandra J R Carthey ₁ , Renee Catullo ₂₃ , Brittany R Cavazos ₂₄ , Dalia A Conde _{25,

26,

27} , Steven L Chown ₂₈ , Belen Fadrique ₂₁ , Heloise Gibb ₂₉ , Aud H Halbritter _{7,

8} , Jennifer Hammock ₃₀ , J Aaron Hogan ₃₁ , Hamish Holewa ₁₈ , Michael Hope ₁₈ , Colleen M Iversen ₃₂ , Malte Jochum _{11,

16,

33} , Michael Kearney ₃₄ , Alexander Keller _{13,

14} , Paula Mabee ₃₅ , Peter Manning ₃₆ , Luke McCormack ₃₇ , Sean T Michaletz ₃₈ , Daniel S Park ₃₉ , Timothy M Perez _{21,

22} , Silvia Pineda-Munoz ₄₀ , Courtenay A Ray ₄₁ , Maurizio Rossetto _{42,

43} , Hervé Sauquet _{2,

42,

44} , Benjamin Sparrow ₄₅ , Marko J Spasojevic ₄₆ , Richard J Telford _{7,

8} , Joseph A Tobias ₄₇ , Cyrille Violle ₄₈ , Ramona Walls ₄₉ , Katherine C B Weiss ₄₁ , Mark Westoby ₁ , Ian J Wright ₁ , Brian J Enquist _{3,

50}

Affiliation

Department of Biological Sciences, Macquarie University, Sydney, New South Wales, Australia.
Evolution and Ecology Research Centre and School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, New South Wales, Australia.
Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.
Department of Zoology, Oxford University, Oxford, UK.
Centre for Biodiversity and Conservation Science, University of Queensland, Brisbane, Queensland, Australia.
Evolutionary Demography Laboratory, Max Plank Institute for Demographic Research, Rostock, Germany.
Department of Biological Sciences, University of Bergen, Bergen, Norway.
Bjerknes Centre for Climate Research, University of Bergen, Bergen, Norway.
Ecology Center and Department of Biology, Utah State University, Logan, UT, USA.
Max Planck Institute for Biogeochemistry, Jena, Germany.
German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
Hawai'i Institute of Marine Biology, University of Hawai'i at Manoa, Manoa, HI, USA.
Department of Bioinformatics, Biocenter, University of Wuerzburg, Wuerzburg, Germany.
Center for Computational and Theoretical Biology, Biocenter, University of Wuerzburg, Wuerzburg, Germany.
Comprehensive Heart Failure Center, University Hospital Wuerzburg, Wuerzburg, Germany.
Institute of Plant Sciences, University of Bern, Bern, Switzerland.
Discipline of Geography and Spatial Sciences, University of Tasmania, Hobart, Tasmania, Australia.
Commonwealth Scientific and Industrial Research Organisation (CSIRO), Canberra, Australian Capital Territory, Australia.
Bio5 Institute, University of Arizona, Tucson, AZ, USA.
School of Life and Environmental Sciences, Centre for Integrative Ecology, Deakin University, Geelong, Victoria, Australia.
Department of Biology, University of Miami, Miami, FL, USA.
Fairchild Tropical Botanic Garden, Coral Gables, FL, USA.
Research School of Biology, Australian National University, Canberra, Australian Capital Territory, Australia.
Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, IA, USA.
Species360 Conservation Science Alliance, Bloomington, MN, USA.
Interdisciplinary Center on Population Dynamics, University of Southern Denmark, Odense, Denmark.
Department of Biology, University of Southern Denmark, Odense, Denmark.
School of Biological Sciences, Monash University, Melbourne, Victoria, Australia.
Department of Ecology, Environment and Evolution and Centre for Future Landscapes, La Trobe University, Melbourne, Victoria, Australia.
National Museum of Natural History, Smithsonian Institution, Washington, DC, USA.
International Center for Tropical Botany, Department of Biological Sciences, Florida International University, Miami, FL, USA.
Climate Change Science Institute and Environmental Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Institute of Biology, Leipzig University, Leipzig, Germany.
School of BioSciences, The University of Melbourne, Melbourne, Victoria, Australia.
Department of Biology, University of South Dakota, Vermillion, SD, USA.
Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Frankfurt, Germany.
Center for Tree Science, The Morton Arboretum, Lisle, IL, USA.
Department of Botany and Biodiversity Research Centre, University of British Columbia, Vancouver, British Columbia, Canada.
Department of Organismic and Evolutionary Biology and Harvard University Herbaria, Harvard University, Cambridge, MA, USA.
School of Biological Sciences and School of Earth & Atmospheric Sciences, Georgia Institute of Technology, Atlanta, GA, USA.
School of Life Sciences, Arizona State University, Tempe, AZ, USA.
National Herbarium of New South Wales, Royal Botanic Gardens and Domain Trust, Sydney, New South Wales, Australia.
Queensland Alliance of Agriculture and Food Innovation, University of Queensland, Brisbane, Queensland, Australia.
Ecologie Systématique Evolution, Univ. Paris-Sud, CNRS, AgroParisTech, Universite Paris-Saclay, Orsay, France.
TERN / School of Biological Sciences, Faculty of Science, The University of Adelaide, Adelaide, South Australia, Australia.
Department of Evolution, Ecology, and Organismal Biology, University of California Riverside, Riverside, CA, USA.
Department of Life Sciences, Imperial College London, London, UK.
CEFE, CNRS, Univ Montpellier, Université Paul Valéry Montpellier, Montpellier, France.
CyVerse, University of Arizona, Tucson, AZ, USA.
Santa Fe Institute, Santa Fe, NM, USA.

Synthesizing trait observations and knowledge across the Tree of Life remains a grand challenge for biodiversity science. Species traits are widely used in ecological and evolutionary science, and new data and methods have proliferated rapidly. Yet accessing and integrating disparate data sources remains a considerable challenge, slowing progress toward a global synthesis to integrate trait data across organisms. Trait science needs a vision for achieving global integration across all organisms. Here, we outline how the adoption of key Open Science principles-open data, open source and open methods-is transforming trait science, increasing transparency, democratizing access and accelerating global synthesis. To enhance widespread adoption of these principles, we introduce the Open Traits Network (OTN), a global, decentralized community welcoming all researchers and institutions pursuing the collaborative goal of standardizing and integrating trait data across organisms. We demonstrate how adherence to Open Science principles is key to the OTN community and outline five activities that can accelerate the synthesis of trait data across the Tree of Life, thereby facilitating rapid advances to address scientific inquiries and environmental issues. Lessons learned along the path to a global synthesis of trait data will provide a framework for addressing similarly complex data science and informatics challenges.

中文翻译：

用于在生命之树上加速基于特征的科学的开放科学原则。

综合生命之树的性状观察和知识仍然是生物多样性科学面临的巨大挑战。物种特征在生态和进化科学中得到广泛应用，新的数据和方法迅速激增。然而，访问和整合不同的数据源仍然是一个相当大的挑战，减缓了整合跨生物体性状数据的全球综合进展。性状科学需要一个愿景来实现所有生物的全球整合。在这里，我们概述了采用关键的开放科学原则——开放数据、开源和开放方法——如何改变特征科学、提高透明度、使访问民主化和加速全球综合。为了促进这些原则的广泛采用，我们引入了开放性状网络 (OTN)，这是一个全球性的、分散的社区欢迎所有追求标准化和整合跨生物体特征数据的合作目标的研究人员和机构。我们展示了遵守开放科学原则如何成为 OTN 社区的关键，并概述了五项可以加速整个生命之树特征数据合成的活动，从而促进解决科学调查和环境问题的快速进展。在性状数据全球综合过程中吸取的经验教训将为解决类似复杂的数据科学和信息学挑战提供一个框架。我们展示了遵守开放科学原则如何成为 OTN 社区的关键，并概述了五项可以加速整个生命之树特征数据合成的活动，从而促进解决科学调查和环境问题的快速进展。在性状数据全球综合过程中吸取的经验教训将为解决类似复杂的数据科学和信息学挑战提供一个框架。我们展示了遵守开放科学原则如何成为 OTN 社区的关键，并概述了五项可以加速整个生命之树特征数据合成的活动，从而促进解决科学调查和环境问题的快速进展。在性状数据全球综合的道路上吸取的经验教训将为解决类似复杂的数据科学和信息学挑战提供一个框架。

更新日期：2020-02-18

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