Results Reproduction (R-squared)

Results Reproduction (R-Squared) is a service that computationally reproduces the results of your research to ensure Reproducibility and Transparency – think of it as enhanced proofreading for your Data and Code.

R-Squared workflow image

The client deposits with R-Squared. After CCSS Research Support receives the submission we check it for completeness, run the code and compare the results making sure they are identical. Any differences we discuss with the client and fix. Then we archive it in either a journal-specified repository or in the CISER Data & Reproduction Archive where people can access it online.

Outline of R-Squared Service:

What an R-Squared Review Does
  • Reproduces output precisely
  • Provides suggested code edits to facilitate reproduction
  • Ensures
    • Transparency and Reproducibility of your research
    • Ease of access to data and code for others
    • Independent understandability by others
  • Creates an archive package with all information in one place (example:
What an R-Squared Review Does NOT Do
  • Check your research methodology
  • Question or check conclusions or theories
  • Share anything before the article is published
Benefits of Using the R-Squared Service
  • Independent party review provides higher tier confirmation of
    • Transparency – understandability of your code and variables by laypeople
    • Reproducibility – ease for others, or for you years later
  • Increased discoverability and accessibility of your study
  • Ability to promptly and confidently provide reproduction materials
  • Comparative advantage in the journal review process
  • Increases value of your publication for citation by others
Benefits of the CCSS-RS Team
  • Trusted source – CCSS-RS (formerly CISER) is Core Trust Seal certified (see our certification)
  • Experts with years of experience in data curation, analysis, and results reproduction
  • Proven results reproduction workflow
Time and Cost Information
  • Average first review takes 7 – 15 hours
    • Suggested steps taken ahead of time can reduce the time
    • Long papers with significant additional output/other factors can increase the time
  • We are working with CCSS-RS leadership to scale up the R2 program and to develop a sustainable funding model
Preparing your reproduction materials for R-Squared