Huang et al. 2019 computational reproducibility assessment

This repository forms part of work package 1 on the project STARS: Sharing Tools and Artefacts for Reproducible Simulations. It assesses the computational reproducibility of:

Huang S, Maingard J, Kok HK, Barras CD, Thijs V, Chandra RV, Brooks DM and Asadi H. Optimizing Resources for Endovascular Clot Retrieval for Acute Ischemic Stroke, a Discrete Event Simulation. Frontiers in Neurology 10, 653 (2019). https://doi.org/10.3389/fneur.2019.00653.

Website

Click here to check out the website for this repository

This website is created using Quarto and hosted using GitHub Pages. It shares everything from this computational reproducibility assessment.

Protocol

The protocol for this work is summarised in the diagram below and archived on Zenodo:

Heather, A., Monks, T., Harper, A., Mustafee, N., & Mayne, A. (2024). Protocol for assessing the computational reproducibility of discrete-event simulation models on STARS. Zenodo. https://doi.org/10.5281/zenodo.12179846.

Repository overview

bash .github workflows ... evaluation ... logbook ... original_study ... quarto_site ... reproduction ... .gitignore CHANGELOG.md CITATION.cff CONTRIBUTING.md LICENSE README.md _quarto.yml citation_apalike.apa citation_bibtex.bib index.qmd requirements.txt

Key sections: These folders have all the content related to the original study and reproduction...

• original_study/ - Original study materials (i.e. journal article, supplementary material, code and any other research artefacts).
• reproduction/ - Reproduction of the simulation model. Once complete, this functions as a research compendium for the model, containing all the code, parameters, outputs and documentation.
• evaluation/ - Quarto documents from the evaluation of computational reproducibility. This includes the scope, assessment of reproduction success, and comparison of the original study materials against various guidelines, and summary report.
• logbook/ - Daily record of work on this repository.

Other sections: The remaining files and folders support creation of the Quarto site to share the reproduction, or are other files important to the repository (e.g. README, LICENSE, .gitignore)...

• .github/workflows/ - GitHub actions.
• quarto_site/ - A Quarto website is used to share information from this repository (including the original study, reproduced model, and reproducibility evaluation). This folder contains any additional files required for creation of the site that do not otherwise belong in the other folders.
• .gitignore - Untracked files.
• CHANGELOG.md - Description of changes between GitHub releases and the associated versions on Zenodo.
• CITATION.cff - Instructions for citing this repository, created using CFF INIT.
• CONTRIBUTING.md - Contribution instructions for repository.
• LICENSE - Details of the license for this work.
• README.md - Description for this repository. You'll find a seperate README for the model within the reproduction/ folder, and potentially also the original_study/ folder if a README was created by the original study authors.
• _quarto.yml - Set-up instructions for the Quarto website.
• citation_apalike.bib - APA citation generated from CITATION.cff.
• citation_bibtex.bib - Bibtex citation generated from CITATION.cff.
• index.qmd - Home page for the Quarto website.
• requirements.txt - Environment for creation of Quarto site (used by .github/workflows/quarto_publish.yaml).

Citation

Please cite the archived version of this repository on Zenodo:

Heather, A., Monks, T., & Harper, A. (2025). Huang et al. 2019 computational reproducibility assessment. Zenodo. https://doi.org/10.5281/zenodo.12657280

You can also cite the repository on GitHub. Please refer to the citation file CITATION.cff, and the auto-generated alternatives citation_apalike.apa and citation_bibtex.bib.

License

This repository is licensed under the GNU GPL-3.0 license.

This is aligned with the original study, who also licensed their work under the GNU GPL-3.0 license.

Funding

This work is supported by the Medical Research Council [grant number MR/Z503915/1].