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Enabling reusability of plant phenomic datasets with MIAPPE 1.1

Evangelia Papoutsoglou 1, * Daniel Faria 2, 3 Daniel Arend 4 Elizabeth Arnaud 5 Ioannis Athanasiadis 6 Inês Chaves 7, 8 Frederik Coppens 9, 10 Guillaume Cornut 11 Bruno Costa 7, 12 Hanna Ćwiek‐kupczyńska 13 Bert Droesbeke 9, 10 Richard Finkers 1 Kristina Gruden 14 Astrid Junker 4 Graham King 15 Paweł Krajewski 13 Matthias Lange 4 Marie‐angélique Laporte 5 Célia Michotey 11 Markus Oppermann 4 Richard Ostler 16 Hendrik Poorter 17, 18 Ricardo Ramírez‐gonzalez 19 Živa Ramšak 14 Jochen Reif 4 Philippe Rocca‐serra 20 Susanna‐assunta Sansone 20 Uwe Scholz 4 Francois Tardieu 21 Cristobal Uauy 19, 22 Björn Usadel 17 Richard Visser 1 Stephan Weise 4 Paul Kersey 23 Célia Miguel 7, 12 Anne‐françoise Adam‐blondon 11 Cyril Pommier 11, * 
Abstract : Enabling data reuse and knowledge discovery is increasingly critical in modern science, and requires an effort towards standardising data publication practices. This is particularly challenging in the plant phenotyping domain, due to its complexity and heterogeneity. We have produced the MIAPPE 1.1 release, which enhances the existing MIAPPE standard in coverage, to support perennial plants, in structure, through an explicit data model, and in clarity, through definitions and examples. We evaluated MIAPPE 1.1 by using it to express several heterogeneous phenotyping experiments in a range of different formats, to demonstrate its applicability and the interoperability between the various implementations. Furthermore, the extended coverage is demonstrated by the fact that one of the datasets could not have been described under MIAPPE 1.0. MIAPPE 1.1 marks a major step towards enabling plant phenotyping data reusability, thanks to its extended coverage, and especially the formalisation of its data model, which facilitates its implementation in different formats. Community feedback has been critical to this development, and will be a key part of ensuring adoption of the standard.
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Submitted on : Tuesday, June 8, 2021 - 9:13:25 AM
Last modification on : Friday, August 5, 2022 - 3:39:28 PM


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Evangelia Papoutsoglou, Daniel Faria, Daniel Arend, Elizabeth Arnaud, Ioannis Athanasiadis, et al.. Enabling reusability of plant phenomic datasets with MIAPPE 1.1. New Phytologist, Wiley, 2020, 227 (1), pp.260-273. ⟨10.1111/nph.16544⟩. ⟨hal-02949641⟩



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