Long Term Plant Phenomic Data Sharing in Generic Data Repositories (Zenodo, Dataverse, e!Dale) Using MIAPPE
Résumé
FAIR Phenomics data description and exchange is easier thanks to several standards such as MIAPPE and BrAPI which are implemented in several tools enabling data management along the data lifecycle. Furthermore, long term data access is complicated by the fact that there are currently no central data repository for this data type, like EBI and NCBI for omics data. As a consequence, plant phenomic data get shared either in specialized tools (Breedbase, PHIS, GnpIS, ...) or in file based data repositories such as Dataverse, Dryad or Zenodo. Those latter generic data repositories have several advantages, such as the capacity to cope with any new technology or scientific approach and presenting a rather low data submission barrier. The downside of this flexibility is that data can be ill described, making it poorly findable, reusable, interoperable according to the FAIR principles.
To solve that, general guidelines have been developed to help plant researchers format and document their data following the Minimum Information About Plant Phenotyping Experiments (MIAPPE). They are available on the FAIR Cookbook, using the RDM Kit as an entry point. The present demonstration, based on a recent training (https://tess.elixir-europe.org/materials/workshop-on-resources-for-plant-sciences-2023), will briefly introduce MIAPPE and the RDM Kit before demonstrating the approach with a Dataverse instance, recherche data gouv (https://doi.org/10.15454/IASSTN ). Following this demonstration, attendees will have the necessary leads and information to prepare plant phenomics FAIR data submission into any file based data repository.
Domaines
Bio-informatique [q-bio.QM]Origine | Fichiers produits par l'(les) auteur(s) |
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