The FLAIR-GG federated network of FAIR germplasm data resources

A key source of biodiversity preservation is in the ex situ storage of seed in what are known as germplasm banks (GBs). Unfortunately, wild species germplasm bank databases, often maintained by resource-limited botanical gardens, are highly disparate and capture information about their collections in a wide range of underlying data formats, storage platforms, following different standards, and with varying degrees of data accessibility. Thus, it is extremely difficult to build conservation strategies for wild species via integrating data from these GBs. Here, we envisage that the application of the FAIR Principles to wild species and crop wild relatives information, through the creation of a federated network of FAIR GB databases, would greatly facilitate cross-resource discovery and exploration, thus assisting with the design of more efficient conservation strategies for wild species, and bringing more attention to these key data providers.

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UPM Digital Archive (Technical University of Madrid)
Published
2024-12-18
Primary Topic
Research Data Management Practices
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article
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article

The FLAIR-GG federated network of FAIR germplasm data resources

Evrykleia Sofia Verykaki, Germán Pastor del Olmo, Alberto Cámara Ballesteros, Elena Aguado Jara et al.
UPM Digital Archive (Technical University of Madrid)
Research Data Management Practices
article

The FLAIR-GG federated network of FAIR germplasm data resources

Evrykleia Sofia Verykaki, Germán Pastor del Olmo, Alberto Cámara Ballesteros, Elena Aguado Jara, M Elena Torres Lamas, Mark Denis Wilkinson, Santiago Moreno Vazquez
article en

Abstract

A key source of biodiversity preservation is in the ex situ storage of seed in what are known as germplasm banks (GBs). Unfortunately, wild species germplasm bank databases, often maintained by resource-limited botanical gardens, are highly disparate and capture information about their collections in a wide range of underlying data formats, storage platforms, following different standards, and with varying degrees of data accessibility. Thus, it is extremely difficult to build conservation strategies for wild species via integrating data from these GBs. Here, we envisage that the application of the FAIR Principles to wild species and crop wild relatives information, through the creation of a federated network of FAIR GB databases, would greatly facilitate cross-resource discovery and exploration, thus assisting with the design of more efficient conservation strategies for wild species, and bringing more attention to these key data providers.

UPM Digital Archive (Technical University of Madrid)
Life in Land
Openalex Percentile: Top 29%
Research Data Management Practices
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