{"id":21685895,"url":"https://github.com/sodascience/workshop_cbs_microdata_computing","last_synced_at":"2025-03-20T11:45:31.533Z","repository":{"id":114448279,"uuid":"491929537","full_name":"sodascience/workshop_cbs_microdata_computing","owner":"sodascience","description":"Presentation and code for CBS microdata meeting","archived":false,"fork":false,"pushed_at":"2022-05-16T11:54:53.000Z","size":17916,"stargazers_count":0,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-25T12:09:36.363Z","etag":null,"topics":["cbs","microdata","national-statistics","odissei","r","supercomputing"],"latest_commit_sha":null,"homepage":"","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sodascience.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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}},"created_at":"2022-05-13T14:29:17.000Z","updated_at":"2024-04-12T12:51:49.000Z","dependencies_parsed_at":"2023-06-08T03:30:19.360Z","dependency_job_id":null,"html_url":"https://github.com/sodascience/workshop_cbs_microdata_computing","commit_stats":null,"previous_names":["sodascience/workshop_cbs_microdata_computing"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_cbs_microdata_computing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_cbs_microdata_computing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_cbs_microdata_computing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sodascience%2Fworkshop_cbs_microdata_computing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sodascience","download_url":"https://codeload.github.com/sodascience/workshop_cbs_microdata_computing/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":244609361,"owners_count":20480780,"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":["cbs","microdata","national-statistics","odissei","r","supercomputing"],"created_at":"2024-11-25T16:23:36.138Z","updated_at":"2025-03-20T11:45:31.514Z","avatar_url":"https://github.com/sodascience.png","language":"R","readme":"# Beyond the limits of the CBS RA environment: efficient programming and the ODISSEI secure supercomputer\n\nPresentation and code for CBS microdata meeting on May 16th, 2022.\n\nWhat to do when your CBS microdata analysis takes too many computational resources to run on the remote access environment? In this meeting, Erik-Jan van Kesteren (Utrecht University) will talk about solutions to this problem. It will be an accessible introduction to a variety of ways in which you can programme more efficiently when using microdata in your research. Furthermore, it will discuss when you should and should not move your project to the ODISSEI Secure Supercomputer. \n\nThe introduction will include some live coding, exploring different options for project organisation, speeding up code, benchmarking, profiling, and reducing memory requirements. During his talk, Van Kesteren will also touch upon topics such as \"embarassingly parallel\", scientific programming, data pipelines, open source, and open science. Although the presentation will center around data analysis with R, these principles also hold for other languages, such as Python or Julia.\n\n\n## Contact\n\nThis project is developed and maintained by the [ODISSEI Social Data\nScience (SoDa)](https://odissei-data.nl/nl/soda/) team.\n\n\u003cimg src=\"word_colour-l.png\" alt=\"SoDa logo\" width=\"250px\"/\u003e\n\nDo you have questions, suggestions, or remarks? File an issue in the\nissue tracker or feel free to contact [Erik-Jan van\nKesteren](https://github.com/vankesteren)\n([@ejvankesteren](https://twitter.com/ejvankesteren))\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsodascience%2Fworkshop_cbs_microdata_computing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsodascience%2Fworkshop_cbs_microdata_computing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsodascience%2Fworkshop_cbs_microdata_computing/lists"}