PHIS - Phenotyping Hybrid Information System

The open-source Phenotyping Hybrid Information System (PHIS), based on OpenSILEX, manages and collects data from Phenotyping and High Throughput Phenotyping experiments on a day to day basis. It can store, organize and manage highly heterogeneous (e.g. images, spectra, growth curves) and multi-spatial and temporal scale data (leaf to canopy level) originating from multiple sources (field, greenhouse). It unambiguously identifies all objects and traits in an experiment and establishes their relations via ontologies and semantics that apply to both field and controlled conditions. Its ontology-driven architecture is a powerful tool for integrating and managing data from multiple experiments and platforms, for creating relationships between objects and enriching datasets with knowledge and metadata. It is MIAPPE and BrAPI compliant, and naming conventions are recommended for users to declare their resources. Several experimental platforms use PHIS to manage their data, and PHIS instances dedicated to sharing resources (projects, genetic resources, variables) also exist to allow the sharing of studied concepts.

PLANT PHENOMICS DATA

PHIS is designed to store, organize and manage highly heterogeneous (e.g. images, spectra, growth curves) and multi-spatial and temporal scale data (leaf to canopy level) originating from multiple sources (field, greenhouse).

ONTOLOGY ARCHITECTURE

Its ontology-driven architecture is a powerful tool for integrating and managing data from multiple experiments and platforms including field and greenhouse.

FAIR DATA

PHIS allows to enrich datasets with knowledge and metadata enabling the reuse of data and meta-analyses. It interoperates and integrates data into external resources (e.g. modelling platforms, external databases and analysis pipelines) and provides FAIR data.

TRY PHIS NEW VERSION  

Try PHIS on OpenSILEX Sandbox

HOW IT WORKS?

PEOPLE

PHIS is the result of collaboration between two research teams of INRAE (the French National Institute for Agricultural Research) of Montpellier:
the LEPSE (Laboratory of Plant Ecophysiological responses to Environmental Stresses) and MISTEA (Mathematics, Informatics and Statistics for Environment and Agronomy). PHIS is developed by the OpenSILEX Team and supported by INRAE and PHENOME-EMPHASIS

PHIS is currently being used in several Phenome-Emphasis local infrastructures in the field and controlled conditions, but also over Europe and non-European countries.