Data standards for plant phenotyping: MIAPPE and its implementations
Résumé
Plant Phenotyping data management following the FAIR (Findable, Accessible, Interoperable, Resusable) is highly challenging because of its heterogenity. Thus, simply integrating and consolidating data within a single dataset like a phenotyping network is already a complicated task which is even more complex when trying to link different datasets together. To adress this problem, the Minimal Information About Plant Phenotyping Experiment standard construction has been initiated four years ago, with the help of experts from European infrastructures and institutes like Elixir, Emphasis, INRA, WUR, iBet, IPK, EBI and IPG PAS. It adresses the need of data publication and reuse through a checklist that formalize and document the minimal metadata necessary to ensure long term FAIRness of field or greenhouse datasets, including high througputs phenotyping ones. This list has been implemented in several databases like GnpIS or eDale, in a file format, ISA Tab, in a web service, the Breeding API and an RDF implementation is under construction. We will review those implementations, show its current adoption state and detail the plans for the future evolutions of the standard.
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