The explosion of web-accessible digital resources makes the discovery of meaningful datasets, softwares, methods, training, challenging for scientists. Providing machine-readable metadata is the cornerstone to scale up the development and adoption of Open Sciences. It is urgent to better share and reuse biological digital resources. FAIR principle are currently being adopted by many scientific communities. However, assessing how much a resource is FAIR is nowadays challenging. Answering human-oriented questionnaires is time-consuming and computational evaluations (FAIRMetrics, RDA Maturity Indicators) often require technical expertise. In this work, we aim at empowering scientists and developers in FAIRifing their resources from the very early stages.