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A curated list of computationally reproducible papers.

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Reproducible Papers

This is will become a curated list of papers that are computationally reproducible by modern standard.

Please make a PR to add new papers to the list. Papers may be cathegorized for topic and technology. See here.

Motivation

Implementing a perfectly replicable and reproducible code for scientific computing is a challenging task, and perfection is nearly impossible. However imperfect reproducibility is better than no reproducibility.

Thanks to the efforts of a few authors and new emerging technologies, a growing number of papers are more reproducible than ever before.

This list serves to highlight exemplary works that apply best-efforts in reproducibility using current tools. They may be not perfect, but they represent practical examples that can be readily followed by a broder scientific community.

Criteria for inclusion

  • the paper has been peer-reviewed
  • depends on open source software (e.g. python, R, not MATLAB)
  • paper's software available in a public repository (github, bitbucket, etc.)
  • use open data, available for download
  • allows replicating the figures and results
  • use some method to replicate the "exact" software environment (e.g. conda environments, docker container, etc.)

Reproducible Papers List

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A curated list of computationally reproducible papers.

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