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Enabling reusability of plant phenomic datasets with MIAPPE 1.1
Author(s) -
Papoutsoglou Evangelia A.,
Faria Daniel,
Arend Daniel,
Arnaud Elizabeth,
Athanasiadis Ioannis N.,
Chaves Inês,
Coppens Frederik,
Cornut Guillaume,
Costa Bruno V.,
ĆwiekKupczyńska Hanna,
Droesbeke Bert,
Finkers Richard,
Gruden Kristina,
Junker Astrid,
King Graham J.,
Krajewski Paweł,
Lange Matthias,
Laporte MarieAngélique,
Michotey Célia,
Oppermann Markus,
Ostler Richard,
Poorter Hendrik,
Ramı́rezGonzalez Ricardo,
Ramšak Živa,
Reif Jochen C.,
RoccaSerra Philippe,
Sansone SusannaAssunta,
Scholz Uwe,
Tardieu François,
Uauy Cristobal,
Usadel Björn,
Visser Richard G. F.,
Weise Stephan,
Kersey Paul J.,
Miguel Célia M.,
AdamBlondon AnneFrançoise,
Pommier Cyril
Publication year - 2020
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/nph.16544
Subject(s) - computer science , reusability , interoperability , implementation , clarity , reuse , data science , key (lock) , domain (mathematical analysis) , software engineering , data mining , world wide web , ecology , programming language , biology , mathematical analysis , biochemistry , computer security , mathematics , software
Summary 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.