{"id":23586727,"url":"https://github.com/pythonhealthdatascience/stars_reproduction_protocol","last_synced_at":"2026-02-02T20:04:56.324Z","repository":{"id":239192910,"uuid":"798832276","full_name":"pythonhealthdatascience/stars_reproduction_protocol","owner":"pythonhealthdatascience","description":"Syncs with Overleaf Latex protocol on simulation reproduction","archived":false,"fork":false,"pushed_at":"2025-01-08T15:03:31.000Z","size":8223,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-17T04:07:39.566Z","etag":null,"topics":["preregistration","protocol","reproducibility"],"latest_commit_sha":null,"homepage":"https://doi.org/10.5281/zenodo.12179846","language":"TeX","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pythonhealthdatascience.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE_CC_BY_4_0","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-05-10T15:08:03.000Z","updated_at":"2025-01-08T15:03:59.000Z","dependencies_parsed_at":"2024-05-20T12:31:41.171Z","dependency_job_id":"465f7c8a-8f37-414e-a8f5-3180f820c5a5","html_url":"https://github.com/pythonhealthdatascience/stars_reproduction_protocol","commit_stats":null,"previous_names":["pythonhealthdatascience/stars_reproduction_protocol"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/pythonhealthdatascience/stars_reproduction_protocol","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars_reproduction_protocol","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars_reproduction_protocol/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars_reproduction_protocol/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars_reproduction_protocol/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pythonhealthdatascience","download_url":"https://codeload.github.com/pythonhealthdatascience/stars_reproduction_protocol/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars_reproduction_protocol/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":263671788,"owners_count":23494040,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["preregistration","protocol","reproducibility"],"created_at":"2024-12-27T04:13:49.536Z","updated_at":"2026-02-02T20:04:51.304Z","avatar_url":"https://github.com/pythonhealthdatascience.png","language":"TeX","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Protocol for assessing the computational reproducibility of discrete-event simulation models on STARS\n\n⭐ Protocol: **STARS_WP1_Reproduction_Protocol.pdf** ⭐\n\nThis repository contains the Latex documents creating the STARS protocol for simulation reproduction. These are synced with and imported from Overleaf.\n\nIt includes a workflow image produced using draw.io. To export the image at high quality on draw.io, you should go to File \u003e Export as \u003e Advanced, and then set the DPI to 300dpi and unselect transparent background.\n\nThe protocol has been published on Zenodo:\n\nHeather, A., Monks, T., Harper, A., Mustafee, N., \u0026 Mayne, A. (2024). Protocol for assessing the computational reproducibility of discrete-event simulation models on STARS. Zenodo. \u003chttps://doi.org/10.5281/zenodo.12179846\u003e.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonhealthdatascience%2Fstars_reproduction_protocol","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythonhealthdatascience%2Fstars_reproduction_protocol","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonhealthdatascience%2Fstars_reproduction_protocol/lists"}