● Create a single platform aggregating all biodiversity data and species collections starting with the PNDB and related initiatives (Recolnat, INPN, GBIF France) in France, and spreading through partner networks and institutions in Europe, Africa, the French Pacific territories. This IN will initially have a national focus but will be open to the international community. Develop scalable FAIR workflows and services to aggregate analyses and increase the level of FAIRness of this data.

● Increase the richness of metadata descriptions linked to PIDs used by other GO FAIR INs.

● Develop competences in semantic modelling, promote best practices and emerging standards within the diverse institutes and universities across the francophone community who contribute data and resources to this shared resource.

● Produce French language training materials, webinars, BYOD, and an e-learning platform to increase the awareness of FAIR and the Internet of FAIR Data and Services. Promote FAIR awareness and approaches through conferences, seminars and workshops.