Traits.build: A data model, workflow and R package for building harmonised ecological trait databases

Trait databases have proliferated over the past decades, facilitating research on the ecology, evolution, and conservation of taxa across the Tree of Life. Typically, teams of independent researchers build these databases, and each must develop their own workflow and output structure. This divests research hours from downstream tasks such as trait-based analysis and interpretation and the resultant datasets are often difficult to integrate due to disparate database structures. Here we introduce the {traits.build} R-package, which offers a generalised workflow for building trait databases. {traits.build} contains bespoke functions for propagating metadata files, extensive tutorials, and sample configuration files, allowing researchers to efficiently build a new trait database using open-source tools. In addition, the {traits.build} output structure is fully documented by a data model, ensuring the meaning of each variable and semantic relationship between variables is transparent and consistent. The data standard links to terms in previously published data standards, drawing strongly on DarwinCore and the Ecological Trait-data Standard, but also includes the ability to fully map location and context properties absent from these vocabularies. It is the first published database-building workflow that adheres to the Extensible Observation Ontology. Simultaneously developing a generalised workflow and publishing a data standard for the workflow provides {traits.build} users a straightforward pathway to build a new trait database that achieves the FAIR principles. The meaning of all variables in a {traits.build} database are already documented, allowing further integration with either other {traits.build} databases or indeed any other database with a documented data model. This follows the vision of the Open Traits Network to build trait databases whose data can be easily integrated for further analysis. • Trait databases should have open-source workflows and a documented data model. • The {traits.build} R-package provides a workflow for building trait databases. • The database output structure is fully documented in a published data-model. • Extends previous trait database building workflows.

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Publication Details

Journal
Ecological Informatics
Published
2024-08-16
DOI
https://doi.org/10.1016/j.ecoinf.2024.102773
Citations
2
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
1.84
Controls
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article

Traits.build: A data model, workflow and R package for building harmonised ecological trait databases

David Coleman, Payal Bal, Rachael V. Gallagher, Sophie Yang et al.
2 citations
Ecological Informatics
Species Distribution and Climate Change
1.84
article

Traits.build: A data model, workflow and R package for building harmonised ecological trait databases

David Coleman, Payal Bal, Rachael V. Gallagher, Sophie Yang, Elizabeth Wenk, Daniel S. Falster
article en
2 citations

Abstract

Trait databases have proliferated over the past decades, facilitating research on the ecology, evolution, and conservation of taxa across the Tree of Life. Typically, teams of independent researchers build these databases, and each must develop their own workflow and output structure. This divests research hours from downstream tasks such as trait-based analysis and interpretation and the resultant datasets are often difficult to integrate due to disparate database structures. Here we introduce the {traits.build} R-package, which offers a generalised workflow for building trait databases. {traits.build} contains bespoke functions for propagating metadata files, extensive tutorials, and sample configuration files, allowing researchers to efficiently build a new trait database using open-source tools. In addition, the {traits.build} output structure is fully documented by a data model, ensuring the meaning of each variable and semantic relationship between variables is transparent and consistent. The data standard links to terms in previously published data standards, drawing strongly on DarwinCore and the Ecological Trait-data Standard, but also includes the ability to fully map location and context properties absent from these vocabularies. It is the first published database-building workflow that adheres to the Extensible Observation Ontology. Simultaneously developing a generalised workflow and publishing a data standard for the workflow provides {traits.build} users a straightforward pathway to build a new trait database that achieves the FAIR principles. The meaning of all variables in a {traits.build} database are already documented, allowing further integration with either other {traits.build} databases or indeed any other database with a documented data model. This follows the vision of the Open Traits Network to build trait databases whose data can be easily integrated for further analysis. • Trait databases should have open-source workflows and a documented data model. • The {traits.build} R-package provides a workflow for building trait databases. • The database output structure is fully documented in a published data-model. • Extends previous trait database building workflows.

Ecological InformaticsVol. 83
The University of Melbourne (AU), UNSW Sydney (AU), Ecosystem Sciences (AU), Western Sydney University (AU)
Openalex Percentile: Top 11%
Species Distribution and Climate Change
1.84
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