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Reproducibility by Other Means: Transparent Research Objects

McPhillips, Timothy M; Willis, Craig; Gryk, Michael R.; Nunez-Corrales, Santiago; Ludaescher, Bertram


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    "description": "<p><strong>Abstract</strong></p>\n\n<p>Research Objects have the potential to significantly enhance the reproducibility of scientific research. One important way Research Objects can do this is by encapsulating the means for re-executing the computational components of studies, thus supporting the new form of reproducibility enabled by digital computing---exact repeatability. However, Research Objects also can make scientific research more reproducible by supporting transparency, a component of reproducibility orthogonal to re-executability. We describe here our vision for making Research Objects more transparent by providing means for disambiguating claims about reproducibility generally, and computational repeatability specifically. We show how support for science-oriented queries can enable researchers to assess the reproducibility of Research Objects and the individual methods and results they encapsulate.</p>", 
    "language": "eng", 
    "title": "Reproducibility by Other Means: Transparent Research Objects", 
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    "notes": "Final preprint submitted to RO2019 workshop at IEEE eScience Conference 2019", 
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    "publication_date": "2019-08-30", 
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