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Journal Article

Canonical Workflow for Experimental Research

MPS-Authors

Wieder,  Philipp
Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen (GWDG), Max Planck Society;

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Citation

Betz, D., Biniossek, C., Blanchi, C., Henninger, F., Lauer, L., Wieder, P., et al. (2022). Canonical Workflow for Experimental Research. Data Intelligence, (4 (2)). doi:10.1162/dint_a_00123.


Cite as: https://hdl.handle.net/21.11116/0000-000C-C7AC-2
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