{"id":16274037,"url":"https://github.com/brunj7/eds-214-analytical-workflows","last_synced_at":"2025-03-20T00:32:06.904Z","repository":{"id":54945095,"uuid":"379994626","full_name":"brunj7/EDS-214-analytical-workflows","owner":"brunj7","description":"EDS 214: Analytical Workflows \u0026 Scientific Reproducibility","archived":false,"fork":false,"pushed_at":"2024-09-04T21:44:27.000Z","size":56056,"stargazers_count":0,"open_issues_count":1,"forks_count":10,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-28T21:57:44.267Z","etag":null,"topics":["data-science","envrionmental-sciences","open-science","reproducible-science","workflow-reusable"],"latest_commit_sha":null,"homepage":"https://brunj7.github.io/EDS-214-analytical-workflows/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/brunj7.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":"code_of_conduct.qmd","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}},"created_at":"2021-06-24T16:55:02.000Z","updated_at":"2024-09-04T21:42:32.000Z","dependencies_parsed_at":"2024-08-26T23:08:15.628Z","dependency_job_id":"d81485bb-00cb-4196-a95c-f41e74efa0ed","html_url":"https://github.com/brunj7/EDS-214-analytical-workflows","commit_stats":null,"previous_names":[],"tags_count":4,"template":false,"template_full_name":"allisonhorst/meds-distill-template","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brunj7%2FEDS-214-analytical-workflows","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brunj7%2FEDS-214-analytical-workflows/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brunj7%2FEDS-214-analytical-workflows/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/brunj7%2FEDS-214-analytical-workflows/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/brunj7","download_url":"https://codeload.github.com/brunj7/EDS-214-analytical-workflows/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244033444,"owners_count":20386934,"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":["data-science","envrionmental-sciences","open-science","reproducible-science","workflow-reusable"],"created_at":"2024-10-10T18:26:50.982Z","updated_at":"2025-03-20T00:32:05.545Z","avatar_url":"https://github.com/brunj7.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\n[![DOI](https://zenodo.org/badge/379994626.svg)](https://zenodo.org/doi/10.5281/zenodo.11194410)\n\n\n\n# EDS 214: Analytical Workflows and Scientific Reproducibility\n\nThis course is taught as part of the Master of Environmental Data Science ([MEDS](https://bren.ucsb.edu/masters-programs/master-environmental-data-science)), Bren School of Environmental Science \u0026 Management, UC Santa Barbara \n\n## Instructor\n\n[Julien Brun](http://brunj7.github.io/about.html)\n\n## Course description\n\nThe generation and analysis of environmental data is often a complex, multi-step process that may involve the collaboration of many people. Increasingly tools that document help to organize and document workflows are being used to ensure reproducibility and transparency of the results. This course will introduce students to the conceptual organization of workflows as a way to conduct reproducible analyses, as well as various software tools that help users manage multi-step processes that require tools for storing, managing and sharing workflows, code, documents and data.\n\n\u003cbr\u003e\n\n**Course Materials: https://brunj7.github.io/EDS-214-analytical-workflows/**\n\n\u003cbr\u003e\n\u003cbr\u003e\n\nThis website template is made with [`distill` by RStudio](https://rstudio.github.io/distill/) as an optional starting point for teachers in the Master of Environmental Data Science Program at the Bren School (UC Santa Barbara). \n\n[Click here](https://allisonhorst.github.io/meds-distill-template/) for a template preview.\n\n\n\u003cbr\u003e\n\u003cbr\u003e\n\n---\n\u003cp align=\"center\"\u003e\n\u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"\u003e\u003cimg alt=\"Creative Commons License\" style=\"border-width:0\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\" /\u003e\u003c/a\u003e \n\u003c/p\u003e\n\u003cp align=\"center\"\u003e\n  The original parts of this work are licensed under a \u003ca rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\"\u003eCreative Commons Attribution 4.0 International License\u003c/a\u003e.\n\u003c/p\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrunj7%2Feds-214-analytical-workflows","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbrunj7%2Feds-214-analytical-workflows","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbrunj7%2Feds-214-analytical-workflows/lists"}