About the webinar
In the world of plant science, high-throughput phenotyping produces massive datasets that demand powerful, scalable infrastructure for effective management and analysis. PHIS (Phenotyping Hybrid Information System) is a cutting-edge, open-source platform that transforms how plant phenotyping data is integrated and shared. In this talk, Isabelle Alic will explore how PHIS utilizes EGI Cloud’s robust capabilities to provide a flexible, high-performance environment for managing complex phenotyping workflows. She will highlight how EGI Cloud enables seamless data sharing, accelerates collaboration, and supports the FAIR principles of data accessibility and interoperability. Join us to discover how EGI’s advanced cloud infrastructure is helping to drive innovative, data-driven solutions in plant research and open science.
Target Audience
This webinar is mainly intended for, but not limited to, domain scientists and researchers, – e-Infrastructure platform / technology providers and Data Scientists
Programme
20 min presentation + 25 min demo/tutorial + 15 min Q&A
About the presenters
Isabelle Alic is a Research Engineer at INRAE (the French National Research Institute for Agriculture, Food, and Environment), specializing in Information Systems and Knowledge Management. She leads PHIS (Phenotyping Hybrid Information System) project, an open-source platform dedicated to high-throughput plant phenotyping, developed by OpenSILEX team within the UMR MISTEA unit. Her expertise encompasses knowledge representation, semantic web technologies, and data management in plant phenomics. Isabelle has contributed significantly to projects like PHENOME, EPPN2020, EMPHASIS-GO and PHENET, focusing on data integration and standardization strategies. She is also an active member of the OpenSILEX team, providing training and workshops to promote FAIR (Findable, Accessible, Interoperable, and Reusable) data practices within the plant science community.