Plant Phenotyping Data managment (MIAPPE)

This training material has been used in a two-day training workshop on data management organized by Elixir and the Wheat Initiative.

It provides an overview of current practices and methods for plant phenotyping data standardization, and how to deal with the variability and heterogeneity inherent to research and breeding data sets. Data management approaches at some of the major research organizations will be given as examples.

In addition to presentations, this material includes practices on the datasets of training attendees, hence allowing to format them according to published standards (www.miappe.org) and descriptive vocabularies from the Crop Ontology (www.cropontology.org). They will benefit from the advice of the expert presenters during hands-on exercise as well as learn from their experience in the research domain.

Scientific topics: Data management, Plant biology, Phenomics

Operations: Formatting, Annotation

Keywords: Plant Phenotyping, Data-format, data sharing

Resource type: Training materials

Target audience: Biologists, geneticists, plant researchers, software engineers, database managers

Difficulty level: Beginner

Licence: Creative Commons Attribution 4.0

Authors: Cyril Pommier, Daniel Faria, Evangelia Papoutsoglou, Célia Michotey, Elizabeth Arnaud, Anne-Françoise Adam-Blondon

External resources:
Plant Phenotyping Data managment (MIAPPE) https://tess.elixir-europe.org/materials/plant-phenotyping-data-managment-miappe This material is first targetting plant biologist willing to describe and annotate their phenotyping experiments before publication. Database managers and software developpers will also receive an introduction of the current plant phenotyping standards (MIAPPE, BrAPI, Crop ontology). Learners will know how to use standards and ontologies, how to describe their measurment protocole and practices how to fill a template with their data and how to apply the standards concept in some data managment tools. Data management Plant biology Phenomics Plant Phenotyping, Data-format, data sharing Biologists geneticists plant researchers software engineers database managers