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| Home > Publications database > Improving Metadata Collection and Aggregation in Plant Phenotyping Experiments with MIAPPE Wizard and DataPLANT > print |
| 001 | 1006615 | ||
| 005 | 20230711160002.0 | ||
| 024 | 7 | _ | |2 doi |a 10.37044/osf.io/ekhdw |
| 024 | 7 | _ | |2 Handle |a 2128/34268 |
| 037 | _ | _ | |a FZJ-2023-01748 |
| 100 | 1 | _ | |0 0000-0002-2455-5938 |a Arend, Daniel |b 0 |e Corresponding author |
| 245 | _ | _ | |a Improving Metadata Collection and Aggregation in Plant Phenotyping Experiments with MIAPPE Wizard and DataPLANT |
| 260 | _ | _ | |c 2023 |
| 336 | 7 | _ | |0 PUB:(DE-HGF)25 |2 PUB:(DE-HGF) |a Preprint |b preprint |m preprint |s 1681190003_27934 |
| 336 | 7 | _ | |2 ORCID |a WORKING_PAPER |
| 336 | 7 | _ | |0 28 |2 EndNote |a Electronic Article |
| 336 | 7 | _ | |2 DRIVER |a preprint |
| 336 | 7 | _ | |2 BibTeX |a ARTICLE |
| 336 | 7 | _ | |2 DataCite |a Output Types/Working Paper |
| 520 | _ | _ | |a 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. |
| 536 | _ | _ | |0 G:(DE-HGF)POF4-2171 |a 2171 - Biological and environmental resources for sustainable use (POF4-217) |c POF4-217 |f POF IV |x 0 |
| 536 | _ | _ | |0 G:(GEPRIS)442077441 |a DFG project 442077441 - DataPLANT – Daten in Pflanzen-Grundlagenforschung (442077441) |c 442077441 |x 1 |
| 588 | _ | _ | |a Dataset connected to CrossRef |
| 700 | 1 | _ | |0 P:(DE-Juel1)191149 |a Beier, Sebastian |b 1 |
| 700 | 1 | _ | |0 0000-0001-9021-3197 |a Brilhaus, Dominik |b 2 |
| 700 | 1 | _ | |0 P:(DE-Juel1)194525 |a Dörpholz, Hannah |b 3 |u fzj |
| 700 | 1 | _ | |0 0000-0001-6546-1818 |a Feser, Manuel |b 4 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Frey, Kevin |b 5 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a König, Patrick |b 6 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Maus, Oliver |b 7 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Psaroudakis, Dennis |b 8 |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Rodrigues, Cristina Martins |b 9 |
| 700 | 1 | _ | |0 P:(DE-Juel1)181087 |a Schrader, Andrea |b 10 |u fzj |
| 700 | 1 | _ | |0 P:(DE-Juel1)188972 |a Senger, Elisa |b 11 |u fzj |
| 700 | 1 | _ | |0 P:(DE-HGF)0 |a Weil, Heinrich Lukas |b 12 |
| 773 | _ | _ | |a 10.37044/osf.io/ekhdw |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/1006615/files/2023_Arend%20et%20al_Improving%20Metadata%20Collection%20and%20Aggregation%20in%20Plant.pdf |y OpenAccess |
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| 910 | 1 | _ | |0 I:(DE-588b)5008462-8 |6 P:(DE-Juel1)191149 |a Forschungszentrum Jülich |b 1 |k FZJ |
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| 914 | 1 | _ | |y 2023 |
| 915 | _ | _ | |0 StatID:(DE-HGF)0510 |2 StatID |a OpenAccess |
| 915 | _ | _ | |0 LIC:(DE-HGF)CCBY4 |2 HGFVOC |a Creative Commons Attribution CC BY 4.0 |
| 920 | _ | _ | |l yes |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-4-20200403 |k IBG-4 |l Bioinformatik |x 0 |
| 980 | _ | _ | |a preprint |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a UNRESTRICTED |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-4-20200403 |
| 980 | _ | _ | |a OPENSCIENCE |
| 980 | 1 | _ | |a FullTexts |
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