Software

FZJ-2026-01327

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Metadata Archivist - Proof of Concept

Villamar, J. (Corresponding author)FZJ* ; Kelbling, M. ; More, H. (Researcher) ; Denker, M. (Researcher)FZJ* ; Tetzlaff, T. (Researcher)FZJ* ; Senk, J. (Researcher)FZJ* ; Thober, S.

2025

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Please use a persistent id in citations: doi:10.5281/ZENODO.15110701

Abstract: 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.

Keyword(s): Snakemake workflow ; Metadata processing ; Simulation workflow

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Contributing Institute(s):

1. Computational and Systems Neuroscience (IAS-6)

Research Program(s):

1. 5231 - Neuroscientific Foundations (POF4-523) (POF4-523)
2. 5232 - Computational Principles (POF4-523) (POF4-523)

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