Conference paper Open Access

Reproducibility by Other Means: Transparent Research Objects

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

Dublin Core Export

<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:creator>McPhillips, Timothy M</dc:creator>
  <dc:creator>Willis, Craig</dc:creator>
  <dc:creator>Gryk, Michael R.</dc:creator>
  <dc:creator>Nunez-Corrales, Santiago</dc:creator>
  <dc:creator>Ludaescher, Bertram</dc:creator>

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.</dc:description>
  <dc:description>Final preprint submitted to RO2019 workshop at IEEE eScience Conference 2019</dc:description>
  <dc:title>Reproducibility by Other Means: Transparent Research Objects</dc:title>
All versions This version
Views 984455
Downloads 500227
Data volume 155.8 MB38.4 MB
Unique views 720366
Unique downloads 404209


Cite as