Open Science principles for accelerating trait-based science across the Tree of Life

Rachael V. Gallagher*, Daniel S. Falster, Brian S. Maitner, Roberto Salguero-Gómez, Vigdis Vandvik, William D. Pearse, Florian D. Schneider, Jens Kattge, Jorrit H. Poelen, Joshua S. Madin, Markus J. Ankenbrand, Caterina Penone, Xiao Feng, Vanessa M. Adams, John Alroy, Samuel C. Andrew, Meghan A. Balk, Lucie M. Bland, Brad L. Boyle, Catherine H. Bravo-AvilaIan Brennan, Alexandra J. R. Carthey, Renee Catullo, Brittany R. Cavazos, Dalia A. Conde, Steven L. Chown, Belen Fadrique, Heloise Gibb, Aud H. Halbritter, Jennifer Hammock, J. Aaron Hogan, Hamish Holewa, Michael Hope, Colleen M. Iversen, Malte Jochum, Michael Kearney, Alexander Keller, Paula Mabee, Peter Manning, Luke McCormack, Sean T. Michaletz, Daniel S. Park, Timothy M. Perez, Silvia Pineda-Munoz, Courtenay A. Ray, Maurizio Rossetto, Hervé Sauquet, Benjamin Sparrow, Marko J. Spasojevic, Richard J. Telford, Joseph A. Tobias, Cyrille Violle, Ramona Walls, Katherine C. B. Weiss, Mark Westoby, Ian J. Wright, Brian J. Enquist

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    103 Citations (Scopus)
    167 Downloads (Pure)


    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.

    Original languageEnglish
    Pages (from-to)294-303
    Number of pages10
    JournalNature Ecology and Evolution
    Issue number3
    Publication statusPublished - Mar 2020

    Bibliographical note

    Correction: Gallagher, R.V., Falster, D.S., Maitner, B.S. et al. Publisher Correction: Open Science principles for accelerating trait-based science across the Tree of Life. Nat Ecol Evol 4, 662 (2020).


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