The Unit of Resources for Genomic-Info (URGI) of the French National Research Institute for Agriculture, Food and Environment (INRAE) supplies services dedicated to the FAIR management of research data on plants of interest for agriculture and forestry. The services address various stages of the data cycle (https://rdmkit.elixir-europe.org/data_life_cycle). They support other research infrastructures as well as major research projects with their data management plans. URGI develops project-specific data management guidelines, aligned on ELIXIR plant science community’s guidelines (https://rdmkit.elixir-europe.org/plant_sciences), which are then applied by the partners of projects (https://doi.org/10.5281/zenodo.12625360). These guidelines precise in particular how the data will be stored and reused all along the project. URGI services also support the data collection stage, by providing reference data (identifiers, genetic resources) and by defining a template for sample metadata collection. This template is aligned on existing standards such as MIAPPE and MCPD and was developped with the ELIXIR plant science community (https://faircookbook.elixir-europe.org/content/recipes/reusability/miappe.html). During the data processing phase, URGI provides a space for sharing and curating metadata (FAIRDOM-SEEK). If data is not suitable for storage in FAIRDOM-SEEK, a tool has been developed to deploy a standard folder and file structure for projects. URGI also performs metadata curation and enrichment. As part of data preservation, URGI supplies scripts for submitting data to international archives such as BioSamples and ENA. In addition it offers guidance on submitting genetic resources and phenotyping data to the INRAE information system GnpIS (https://doi.org/10.25504/FAIRsharing.dw22y3) as well as to the French national catalog of research data, Recherche Data Gouv, for data not covered by GnpIS, or by the EBI's European archives. It participates significantly in the reuse stage of the data cycle by developing and maintaining metadata standards and ontologies for plant phenotyping data (including forests).