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| Hauptseite > Publikationsdatenbank > Metadata Archivist - Proof of Concept > print |
| 001 | 1052977 | ||
| 005 | 20260128204149.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.15110701 |2 doi |
| 037 | _ | _ | |a FZJ-2026-01327 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Villamar, Jose |0 P:(DE-Juel1)191583 |b 0 |e Corresponding author |u fzj |
| 245 | _ | _ | |a Metadata Archivist - Proof of Concept |
| 260 | _ | _ | |c 2025 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1769603113_7433 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Computer Program |0 6 |2 EndNote |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Software |2 DataCite |
| 520 | _ | _ | |a This archive contains an example implementation of a knowledge generation workflow. Here the questions to answer relate to benchmarking and validation of a given simulator and model. In this workflow, 10 simulation runs of a model are performed while collecting metadata. Then the generated data is post processed to ensure an aggregation of simulation statistics over the 10 different runs. These statistics alongside system information are used to structure the metadata. Both raw and post-processed, data and metadata are stored in a MongoDB instance. This instance can then be queried to plot the benchmarks and validation results. |
| 536 | _ | _ | |a 5231 - Neuroscientific Foundations (POF4-523) |0 G:(DE-HGF)POF4-5231 |c POF4-523 |f POF IV |x 0 |
| 536 | _ | _ | |a 5232 - Computational Principles (POF4-523) |0 G:(DE-HGF)POF4-5232 |c POF4-523 |f POF IV |x 1 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |a Snakemake workflow |2 Other |
| 650 | _ | 7 | |a Metadata processing |2 Other |
| 650 | _ | 7 | |a Simulation workflow |2 Other |
| 700 | 1 | _ | |a Kelbling, Matthias |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a More, Heather |0 P:(DE-Juel1)190225 |b 2 |e Researcher |
| 700 | 1 | _ | |a Denker, Michael |0 P:(DE-Juel1)144807 |b 3 |e Researcher |
| 700 | 1 | _ | |a Tetzlaff, Tom |0 P:(DE-Juel1)145211 |b 4 |e Researcher |
| 700 | 1 | _ | |a Senk, Johanna |0 P:(DE-Juel1)162130 |b 5 |e Researcher |
| 700 | 1 | _ | |a Thober, Stephan |0 P:(DE-HGF)0 |b 6 |
| 773 | _ | _ | |a 10.5281/ZENODO.15110701 |
| 909 | C | O | |o oai:juser.fz-juelich.de:1052977 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)191583 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)144807 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 4 |6 P:(DE-Juel1)145211 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 5 |6 P:(DE-Juel1)162130 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5231 |x 0 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Natural, Artificial and Cognitive Information Processing |1 G:(DE-HGF)POF4-520 |0 G:(DE-HGF)POF4-523 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Neuromorphic Computing and Network Dynamics |9 G:(DE-HGF)POF4-5232 |x 1 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IAS-6-20130828 |k IAS-6 |l Computational and Systems Neuroscience |x 0 |
| 980 | _ | _ | |a sware |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)IAS-6-20130828 |
| 980 | _ | _ | |a UNRESTRICTED |
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