Preprint

FZJ-2023-01748

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Improving Metadata Collection and Aggregation in Plant Phenotyping Experiments with MIAPPE Wizard and DataPLANT

Arend, D. (Corresponding author) ; Beier, S.FZJ* ; Brilhaus, D. ; Dörpholz, H.FZJ* ; Feser, M. ; Frey, K. ; König, P. ; Maus, O. ; Psaroudakis, D. ; Rodrigues, C. M. ; Schrader, A.FZJ* ; Senger, E.FZJ* ; Weil, H. L.

2023

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Please use a persistent id in citations: http://hdl.handle.net/2128/34268  doi:10.37044/osf.io/ekhdw

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.

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Contributing Institute(s):

1. Bioinformatik (IBG-4)

Research Program(s):

1. 2171 - Biological and environmental resources for sustainable use (POF4-217) (POF4-217)
2. DFG project 442077441 - DataPLANT – Daten in Pflanzen-Grundlagenforschung (442077441) (442077441)

Appears in the scientific report 2023

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