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Conference Papers Year : 2018

Improving the « FAIRness » of Inra’s data for plant biology and breeding

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Thomas Letellier
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Abstract

INRA is involved in several projects (e.g. EU H2020 ELIXIR-Excelerate, n°676559) or global initiatives (e.g. Wheat Initiative, Research Data Alliance) contributing to the development of : (i) community recommandations for data standardisation (e.g. wheatis.org ; doi:10.1038/hortres.2016.56), (ii) data standards for phenotyping data (www.miappe.org), (iii) crop specific ontologies in the frame of the CropOntology (http://www.cropontology.org/) and (iv) standard web services (www.brapi.org). These global resources are used to capture the data produced by INRA and its partners in large scientific projects with a standard and structured vocabulary and to store them into INRA’s central repository for plant genomic, phenomic and genetic data, GnpIS (https://urgi.versailles.inra.fr/gnpis/) under the FAIR principles (https://www.force11.org/group/fairgroup/fairprinciples). For this purpose, standardization good practices are actively promoted in particular in the french community using as levers large french scientific projects centered around crop species (Wheat, Maize, Rapeseed, SunFlower, Pea and Sugar Beet) or infrastructures such as the french node of the European infrastructure for phenotyping (EMPHASIS) or the french infrastructure for biological resources for research in agriculture (AgroBRC). Recently, the standards for phenotyping data have been extended to support forest tree data in collaboration with the french node of the European infrastructure for Analysis and Experimentation on Ecosystems (AnaEE Services). Finally, these progresses in the FAIRness of our data are used to develop or contribute to federations of interoperable information systems (see for instance the Wheat community use case: doi: 10.12688/f1000research.12234.1).

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Dates and versions

hal-02790227 , version 1 (05-06-2020)

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  • HAL Id : hal-02790227 , version 1
  • PRODINRA : 430177

Cite

Michael Alaux, Cyril Pommier, Esther Dzale Yeumo, Sophie Durand, Raphaël Flores, et al.. Improving the « FAIRness » of Inra’s data for plant biology and breeding. PAG XXVI - Plant and Animal Genome Conference, Jan 2018, San Diego, United States. pp.14 slides. ⟨hal-02790227⟩
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