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Presentation . 2023
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https://dx.doi.org/10.34734/fz...
Other literature type . 2023
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Towards computational reproducibility when working with very large datasets

descriptionPublicationkeyboard_double_arrow_right Presentation , Other literature type , Conference object 01 Jan 2023 Germany Publisher:Zenodo
Authors: Wagner, Adina S.;

doi: 10.5281/zenodo.7835784 , 10.34734/fzj-2023-05208 , 10.5281/zenodo.7835783

Towards computational reproducibility when working with very large datasets

Abstract

This archive contains the slides for a talk entitled 'Towards computational reproducibility when working with very large datasets', part of the special session ' 10 years of reproducibility in biomedical research: How can we achieve generalizability and fairness?' at the ISBI 2023 .

ISBI 2023, Cartagena de Indias, Colombia, 18 Apr 2023 - 21 Apr 2023; doi:10.5281/ZENODO.7835783

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Germany
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Keywords

DataLad, data analysis, biomedical imaging, reproducibility, ISBI, FAIR

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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