TY  - JOUR
AU  - Papoutsoglou, Evangelia A.
AU  - Faria, Daniel
AU  - Arend, Daniel
AU  - Arnaud, Elizabeth
AU  - Athanasiadis, Ioannis N.
AU  - Chaves, Inês
AU  - Coppens, Frederik
AU  - Cornut, Guillaume
AU  - Costa, Bruno V.
AU  - Ćwiek‐Kupczyńska, Hanna
AU  - Droesbeke, Bert
AU  - Finkers, Richard
AU  - Gruden, Kristina
AU  - Junker, Astrid
AU  - King, Graham J.
AU  - Krajewski, Paweł
AU  - Lange, Matthias
AU  - Laporte, Marie‐Angélique
AU  - Michotey, Célia
AU  - Oppermann, Markus
AU  - Ostler, Richard
AU  - Poorter, Hendrik
AU  - Ramı́rez‐Gonzalez, Ricardo
AU  - Ramšak, Živa
AU  - Reif, Jochen C.
AU  - Rocca‐Serra, Philippe
AU  - Sansone, Susanna‐Assunta
AU  - Scholz, Uwe
AU  - Tardieu, François
AU  - Uauy, Cristobal
AU  - Usadel, Björn
AU  - Visser, Richard G. F.
AU  - Weise, Stephan
AU  - Kersey, Paul J.
AU  - Miguel, Célia M.
AU  - Adam‐Blondon, Anne‐Françoise
AU  - Pommier, Cyril
TI  - Enabling reusability of plant phenomic datasets with MIAPPE 1.1
JO  - The new phytologist
VL  - 227
IS  - 1
SN  - 1469-8137
CY  - Oxford [u.a.]
PB  - Wiley-Blackwell
M1  - FZJ-2020-02160
SP  - 260 - 273
PY  - 2020
AB  - 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.
LB  - PUB:(DE-HGF)16
C6  - pmid:32171029
UR  - <Go to ISI:>//WOS:000528359300001
DO  - DOI:10.1111/nph.16544
UR  - https://juser.fz-juelich.de/record/877353
ER  -