There is a newer version of this record available.

Conference paper Open Access

Reproducibility by Other Means: Transparent Research Objects

McPhillips, Timothy; Ludaescher, Bertram

JSON-LD ( Export

  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  "description": "<p><strong>Abstract</strong><br>\nResearch 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>", 
  "license": "", 
  "creator": [
      "affiliation": "UIUC", 
      "@type": "Person", 
      "name": "McPhillips, Timothy"
      "affiliation": "UIUC", 
      "@type": "Person", 
      "name": "Ludaescher, Bertram"
  "headline": "Reproducibility by Other Means: Transparent Research Objects", 
  "image": "", 
  "datePublished": "2019-07-05", 
  "url": "", 
  "version": "4", 
  "@context": "", 
  "identifier": "", 
  "@id": "", 
  "@type": "ScholarlyArticle", 
  "name": "Reproducibility by Other Means: Transparent Research Objects"
All versions This version
Views 98462
Downloads 50061
Data volume 155.8 MB26.2 MB
Unique views 72055
Unique downloads 40453


Cite as