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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Publication Details

Journal
Scientific Data
Published
2024-12-18
DOI
https://doi.org/10.1038/s41597-024-04243-7
Citations
2
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
1.56

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The FLAIR-GG federated network of FAIR germplasm data resources

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2 citations
Scientific Data
Research Data Management Practices
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article

The FLAIR-GG federated network of FAIR germplasm data resources

Santiago Moreno Vázquez, Alberto Cámara Ballesteros, Mark D. Wilkinson, Elena Torres, E. Jara, Evrykleia Sofia Verykaki, Germán Pastor del Olmo
article en
2 citations

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.

Scientific DataVol. 11(1)
Consejo Superior de Investigaciones Científicas (ES), Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (ES), Centre for Plant Biotechnology and Genomics (ES), Universidad Autónoma de Madrid (ES), Universidad Politécnica de Madrid (ES)
Agencia Estatal de Investigación
Openalex Percentile: Top 12%
Research Data Management Practices
1.56
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