ShareTrait : Towards interoperable and reusable individual trait‐based data in ectotherms

作者：Félix P. Leiva, Jacintha Ellers, Matty P. Berg, Raimon Cuxart‐Erruz, Diego R. Barneche, Tim M. Blackburn, Luis E. Castañeda, Steven L. Chown, Juan Diego Gaitán‐Espitía, Paulina Gebauer, Daniel F. Gomez Isaza, Ian C.W. Hardy, Adam Hermaniuk, Andrew G. Hirst, Sarah Jorissen, Tamar Keasar, Joris M. Koene, Cécile Le Lann, Irene Martorelli, Carlos Molinet, Edwin J. Niklitschek, Brunno F. Oliveira, Brett G. Olivier, Germán Orizaola, Natalie Pilakouta, K. S. Shameer, Milad Shokri, Robby Stoks, Kévin Tougeron, Cristina Tuni, Iris L. E. van de Pol, Natalie E. van Dis, Bertanne Visser, Joost J. Vogels, Craig R. White, Nicholas C. Wu, Wilco C. E. P. Verberk · 发表于：Functional Ecology · 年份：2025 · DOI：10.1111/1365-2435.70147 · 被引用次数：6 · 研究领域：Species Distribution and Climate Change、Physiological and biochemical adaptations

Abstract More and more data on species traits are being collected and made openly available. Despite these efforts, effective syntheses of trait data to comprehend how species respond to and affect their environment are hampered by inadequate standards for publishing the data and the associated metadata, which limits the interoperability and reuse of data across studies. We have developed ShareTrait ( https://sharetrait.org/ ), a novel initiative that consolidates individual‐level trait data and associated metadata in an interoperable and reusable format, enabling standardised and integrated use. As a proof‐of‐concept, we initially focus on three core traits of ectotherms: metabolic rate, development time and fecundity. These traits, measurable in almost all animals, are fundamental to an organism’s overall fitness. ShareTrait enables researchers to share their (meta)data with the research community. To date, researchers from diverse fields have contributed 28,692 individual‐level data records to ShareTrait. These records originated from 45 datasets and are just the tip of the iceberg of existing data, highlighting the potential of ShareTrait to be a valuable community resource for meta‐analyses and comparative approaches. Future directions of ShareTrait will focus on accumulating more records, expanding to cover more traits, including those measurable at the population level, and partnering with journals in relevant fields (ecology, physiology, evolution) to make sharing sta...