Conference paper Open Access
McPhillips, Timothy; Ludaescher, Bertram
<?xml version='1.0' encoding='utf-8'?> <resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"> <identifier identifierType="DOI">10.5281/zenodo.3270620</identifier> <creators> <creator> <creatorName>McPhillips, Timothy</creatorName> <givenName>Timothy</givenName> <familyName>McPhillips</familyName> <affiliation>UIUC</affiliation> </creator> <creator> <creatorName>Ludaescher, Bertram</creatorName> <givenName>Bertram</givenName> <familyName>Ludaescher</familyName> <affiliation>UIUC</affiliation> </creator> </creators> <titles> <title>Reproducibility by Other Means: Transparent Research Objects</title> </titles> <publisher>Zenodo</publisher> <publicationYear>2019</publicationYear> <dates> <date dateType="Issued">2019-07-05</date> </dates> <language>en</language> <resourceType resourceTypeGeneral="Text">Conference paper</resourceType> <alternateIdentifiers> <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3270620</alternateIdentifier> </alternateIdentifiers> <relatedIdentifiers> <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3270559</relatedIdentifier> <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ro</relatedIdentifier> </relatedIdentifiers> <version>5</version> <rightsList> <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights> <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights> </rightsList> <descriptions> <description descriptionType="Abstract"><p><strong>Abstract</strong><br> Research Objects have the potential to significantly enhance the reproducibility and transparency 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></description> <description descriptionType="Other">Preprint submitted to RO2019 workshop at IEEE eScience Conference 2019</description> </descriptions> </resource>
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