Conference paper Open Access
{ "description": "<p>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.</p>", "license": "http://creativecommons.org/licenses/by/4.0/legalcode", "creator": [ { "affiliation": "Eunice Kennedy Shriver Center, Department of Psychiatry University of Massachusetts Medical School Worcester, MA, United States", "@id": "https://orcid.org/0000-0002-9377-0797", "@type": "Person", "name": "Kennedy, David N" } ], "headline": "The ReproPub: A hybrid research object for supporting publication-level re-execution and generalization of neuroimaging research findings", "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", "datePublished": "2019-07-15", "url": "https://zenodo.org/record/3336609", "keywords": [ "reproducible research, re-execution, data publication, software publication, containers" ], "@context": "https://schema.org/", "identifier": "https://doi.org/10.5281/zenodo.3336609", "@id": "https://doi.org/10.5281/zenodo.3336609", "@type": "ScholarlyArticle", "name": "The ReproPub: A hybrid research object for supporting publication-level re-execution and generalization of neuroimaging research findings" }
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