Making scientific computations reproducible

N. Karrenbach · Jon F. Claerbout

226 citations0/0 files storedComputing in Science & Engineering

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Scientific Computing and Data Management Research Data Management Practices Academic Publishing and Open Access

Abstract

To verify a research paper's computational results, readers typically have to recreate them from scratch. ReDoc is a simple software filing system for authors that lets readers easily reproduce computational results using standardized rules and commands.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 226 citations exist upstream.

Cited by

2012Reporting guidelines for simulation‐based research in social sciences 2020Towards reproducible computational drug discovery 2018Reproducibility in Scientific Computing 2008Guest Editors' Introduction: Reproducible Research 2010In silico research in the era of cloud computing 2013Quantifying Reproducibility in Computational Biology: The Case of the Tuberculosis Drugome 2009A Quick Guide to Organizing Computational Biology Projects 2018Re-run, Repeat, Reproduce, Reuse, Replicate: Transforming Code into Scientific Contributions

Imported from OpenAlex (CC0) — nothing here is generated.