Open Science principles for accelerating trait-based science across the Tree of Life
| Autor: | William D. Pearse, Steven L. Chown, Rachael V. Gallagher, Ramona Walls, Peter Manning, Ian G. Brennan, Malte Jochum, Catherine H Bravo-Avila, Michael R. Kearney, Brittany R. Cavazos, Renee A. Catullo, Ian J. Wright, Michael Hope, Alexander Keller, Samuel C. Andrew, John Alroy, Richard J. Telford, Florian D. Schneider, Vigdis Vandvik, Jens Kattge, Luke McCormack, Markus J. Ankenbrand, Benjamin Sparrow, Roberto Salguero-Gómez, Joshua S. Madin, Cyrille Violle, Colleen M. Iversen, Mark Westoby, Brian J. Enquist, Alexandra J. R. Carthey, J. Aaron Hogan, Daniel S. Falster, Hervé Sauquet, Jennifer Hammock, Xiao Feng, Meghan A. Balk, Brad Boyle, Heloise Gibb, Daniel S. Park, Jorrit H. Poelen, Maurizio Rossetto, Joe Tobias, Caterina Penone, Marko J. Spasojevic, Brian S. Maitner, Lucie M. Bland, Aud H. Halbritter, Paula M. Mabee, Silvia Pineda-Munoz, Timothy M. Perez, Katherine C. B. Weiss, Belén Fadrique, Sean T. Michaletz, Courtenay A. Ray, Hamish Holewa, Dalia Amor Conde, Vanessa M. Adams |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
0303 health sciences Open science Ecology Computer science Research Trait based Tree of life Biodiversity 580 Plants (Botany) 010603 evolutionary biology 01 natural sciences Transparency (behavior) Data science Biological Evolution 03 medical and health sciences Networking and Information Technology R&D Phenotype Disparate system Generic Health Relevance Informatics Trait Key (cryptography) Ecology Evolution Behavior and Systematics 030304 developmental biology |
| Zdroj: | Gallagher, R V, Falster, D S, Maitner, B S, Salguero-Gómez, R, Vandvik, V, Pearse, W D, Schneider, F D, Kattge, J, Poelen, J H, Madin, J S, Ankenbrand, M J, Penone, C, Feng, X, Adams, V M, Alroy, J, Andrew, S C, Balk, M A, Bland, L M, Boyle, B L, Bravo-Avila, C H, Brennan, I, Carthey, A J R, Catullo, R, Cavazos, B R, Conde, D A, Chown, S L, Fadrique, B, Gibb, H, Halbritter, A H, Hammock, J, Hogan, J A, Holewa, H, Hope, M, Iversen, C M, Jochum, M, Kearney, M, Keller, A, Mabee, P, Manning, P, McCormack, L, Michaletz, S T, Park, D S, Perez, T M, Pineda-Munoz, S, Ray, C A, Rossetto, M, Sauquet, H, Sparrow, B, Spasojevic, M J, Telford, R J, Tobias, J A, Violle, C, Walls, R, Weiss, K C B, Westoby, M, Wright, I J & Enquist, B J 2020, ' Open Science principles for accelerating trait-based science across the Tree of Life ', Nature Ecology and Evolution, vol. 4, no. 3, pp. 294-303 . https://doi.org/10.1038/s41559-020-1109-6 Nature ecology & evolution, vol 4, iss 3 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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