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MIAPPE is an open, community driven, data standard designed to harmonize data from plant phenotyping experiments. MIAPPE provides a specification including a checklist and a data model of metadata required to adequately describe plant phenotyping experiments. You can have a quick overview or go the the primer section below. @@ -24,23 +42,6 @@
Plant phenotyping data is diverse, dispersed and increasingly plentiful owing to the application of new automated techniques. While various initiatives have explored how to describe plant traits (e.g. the Plant Trait Ontology) and phenotypes, description of the experimental design that provides the context for phenotypic observations is not well-standardized. A basic description of the materials used and the experiment performed is needed to support data discovery and data mining applications. MIAPPE – the Minimal Information About a Plant Phenotyping Experiment – is in development to address these needs.