{"id":43022793,"url":"https://github.com/datalad/talk-2019-mila","last_synced_at":"2026-01-31T06:38:31.819Z","repository":{"id":74507636,"uuid":"177649386","full_name":"datalad/talk-2019-mila","owner":"datalad","description":"A DataLad overview talk at MILA, Montreal 2019","archived":false,"fork":false,"pushed_at":"2019-03-28T13:36:31.000Z","size":5945,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-09-11T10:32:35.846Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://datasets.datalad.org/datalad/artwork/talks/2019-mila/#/","language":"HTML","has_issues":false,"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/datalad.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2019-03-25T19:16:51.000Z","updated_at":"2023-10-25T15:45:48.000Z","dependencies_parsed_at":"2023-05-22T07:45:45.388Z","dependency_job_id":null,"html_url":"https://github.com/datalad/talk-2019-mila","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/datalad/talk-2019-mila","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datalad%2Ftalk-2019-mila","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datalad%2Ftalk-2019-mila/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datalad%2Ftalk-2019-mila/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datalad%2Ftalk-2019-mila/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/datalad","download_url":"https://codeload.github.com/datalad/talk-2019-mila/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datalad%2Ftalk-2019-mila/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28931386,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-31T04:05:25.756Z","status":"ssl_error","status_checked_at":"2026-01-31T04:02:35.005Z","response_time":128,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":[],"created_at":"2026-01-31T06:38:31.060Z","updated_at":"2026-01-31T06:38:31.803Z","avatar_url":"https://github.com/datalad.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DataLad\n\nTalk on DataLad's data management capabilities, how it aids open science\nefforts and helps achieve improved reproducibility in a FAIR way.  Heavily\nbased on the Bernstein Go Fair talk by Michael Hanke, then with mods for\nOpenNeuro kick-off meeting, Stanford, 2018 by Yaroslav O. Halchenko, and\nfinally expanded for MILA.\n\nURLs in the slides ATM are tuned for offline presentation.\n\n## License\n\nAll content is released under the Creative Commons license CC BY-SA 4.0:\nhttps://creativecommons.org/licenses/by-sa/4.0/\n\n\n## Acknowledgements\n\nThe work presented in this talk was supported by a US-German collaboration in\ncomputational neuroscience (CRCNS) project \"DataGit: converging catalogues,\nwarehouses, and deployment logistics into a federated 'data distribution'\"\n(Halchenko/Hanke), co-funded by the US National Science Foundation (NSF\n1429999) and the German Federal Ministry of Education and Research (BMBF\n01GQ1411). Additional support was provided by the German federal state of\nSaxony-Anhalt and the European Regional Development Fund (ERDF), Project:\nCenter for Behavioral Brain Sciences, Imaging Platform.  This work was further\nfacilitated by the ReproNim project (NIH 1P41EB019936-01A1).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatalad%2Ftalk-2019-mila","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatalad%2Ftalk-2019-mila","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatalad%2Ftalk-2019-mila/lists"}