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@ARTICLE{Arend:1006615,
author = {Arend, Daniel and Beier, Sebastian and Brilhaus, Dominik
and Dörpholz, Hannah and Feser, Manuel and Frey, Kevin and
König, Patrick and Maus, Oliver and Psaroudakis, Dennis and
Rodrigues, Cristina Martins and Schrader, Andrea and Senger,
Elisa and Weil, Heinrich Lukas},
title = {{I}mproving {M}etadata {C}ollection and {A}ggregation in
{P}lant {P}henotyping {E}xperiments with {MIAPPE} {W}izard
and {D}ata{PLANT}},
reportid = {FZJ-2023-01748},
year = {2023},
abstract = {As part of the BioHackathon Germany 2022, we hereby report
on the success of the two projects “MIAPPE Wizard:
Enabling easy creation of MIAPPE-compliant ISA metadata for
Plant Phenotyping Experiments” and “DataPLANT -
Facilitating Research Data Management to combat the
reproducibility crisis”. Shortly before the actual
hackathon, it became apparent to the participants that close
coordination between the projects would be very beneficial.
Both projects aimed to improve the process of collecting and
aggregating metadata on plant experiments, but with
different approaches.},
cin = {IBG-4},
cid = {I:(DE-Juel1)IBG-4-20200403},
pnm = {2171 - Biological and environmental resources for
sustainable use (POF4-217) / DFG project 442077441 -
DataPLANT – Daten in Pflanzen-Grundlagenforschung
(442077441)},
pid = {G:(DE-HGF)POF4-2171 / G:(GEPRIS)442077441},
typ = {PUB:(DE-HGF)25},
doi = {10.37044/osf.io/ekhdw},
url = {https://juser.fz-juelich.de/record/1006615},
}