Plant Phenotyping Data managment Webinar (MIAPPE)

The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards. This Webinar will give an overview of the 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.

The recording is available here and the slides are here

Scientific topics: Data submission, annotation and curation, Data quality management, Phenomics, Plant biology

Operations: Standardisation and normalisation

Resource type: Video, Slides

Target audience: Researchers, Biologists, Genomicists, Computer Scientists, Biologists, software developers, bioinformaticians

Difficulty level: Beginner

Licence: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0

Authors: Cyril Pommier

Contributors: Cyril Pommier, Anne-Françoise Adam-Blondon, Célia Michotey

External resources:
Plant Phenotyping Data managment Webinar (MIAPPE) https://tess.elixir-europe.org/materials/plant-phenotyping-data-managment-webinar-miappe The Minimal Information About Plant Phenotyping Experiment, MIAPPE (www.miappe.org), has been designed by ELIXIR, EMPHASIS and Bioversity international, to guide plant scientist in the management of experimental data. Furthermore, since genetic studies relies on the integration and the linking between phenotype and genotype datasets, relevant section of MIAPPE are beginning to be used for genotyping standards. This Webinar will give an overview of the 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. The recording is available [here](https://youtu.be/4FOQPAWl6_M) and the slides are [here](https://drive.google.com/file/d/1FORlCX662T9dxiG4uzQwVXDXnq-sP0FP/view?usp=sharing) Cyril Pommier Anne-Françoise Adam-Blondon Célia Michotey Data submission, annotation and curation Data quality management Phenomics Plant biology Researchers Biologists, Genomicists, Computer Scientists Biologists software developers, bioinformaticians