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Conference object . 2019
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Conference object . 2019
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Conference object . 2019
License: CC BY
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The ReproPub: A hybrid research object for supporting publication-level re-execution and generalization of neuroimaging research findings

Authors: Kennedy, David N;

The ReproPub: A hybrid research object for supporting publication-level re-execution and generalization of neuroimaging research findings

Abstract

In this report we introduce the ‘ReproPub’, a publication that includes the complete provenance of its experimental data, workflow, execution environment, and results. The ReproPub concept supports re-executability of the original finding, which, it is argued, supports a more systematic exploration of the generalizability of the finding and hence enhances the evaluation of its reproducibility.

Preprint submitted to RO2019 workshop at IEEE eScience Conference 2019

Keywords

reproducible research, re-execution, data publication, software publication, containers

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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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2
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14
9
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