FAIDARE is a data discovery portal from an international federation of established data warehouses. It allows searching over more than forty plant research databases over the world, including GnpIS. It eases datasets findability and access of most plant research data types, including in particular genotyping, phenotyping and germplasms. It is based on the Breeding API (BrAPI) specifications and facilitates access to public datasets of crop and forest plants via an easy-to-use web interface. It also provides a standard interface that can be accessed programmatically via web services. FAIDARE has been developed to meet the needs of the ELIXIR Plant Sciences community (https://elixir-europe.org/communities/plant-sciences). It is provided by URGI, a plant bioinformatics platform (https://urgi.versailles.inrae.fr/).
At the national scale: Institut Français de Bioinformatique (IFB), Phenome-EMPHASIS (plant phenomics infrastructure), RARe (research infrastructure for agronomic BRCs) In-Sylva FRANCE (research infrastructure for adaptative management in forests), the PEPR Agroecology and Digital projects AgroDiv and BReIF. At the international scale: ELIXIR (European life sciences infrastructure), Wheat Initiative, International Wheat Genome Sequencing Consortium (IWGSC), EOSC-Life and the projects AGENT, PRO-GRACE, AgroServ and PHENET.
URGI create and provide guidelines to help the Plant community with the best practices for a FAIR data management. For instance guidelines in Plant science : https://rdmkit.elixir-europe.org/plant_sciences (Germplasm (meta)data collection and sharing, Phenotyping (meta)data collection and publication, Genotyping (meta)data collection and publication) We also create training courses and materials to disseminate the best practices for a FAIR management of phenotyping data. You can find our training sessions and materials on ELIXIR training catalog TeSS (Training eSupport System) and on IFB moodle.
bioinformatics, genomic data, plant genetic resource, genetic polymorphism, information system, data interoperability, nosql database, data warehouse, FAIR data, open data, relational database
Abies, Acacia, Acer, Alnus, Betula, Calocedrus, Carpinus, Castanea, Cedrus, Cryptomeria, Cupressus, Eucalyptus, Fagus, Fraxinus, Juglans, Larix, Liriodendron, Nothofagus, Picea, Pinus, Platanus, Populus, Prunus, Pseudotsuga, Quercus, Robinia, Salix, Sorbus, Taxus, Thuja, Ulmus