{"action":"created","issue":{"url":"https://api.github.com/repos/data-lessons/NEON-R-Tabular-Time-Series/issues/72","repository_url":"https://api.github.com/repos/data-lessons/NEON-R-Tabular-Time-Series","labels_url":"https://api.github.com/repos/data-lessons/NEON-R-Tabular-Time-Series/issues/72/labels{/name}","comments_url":"https://api.github.com/repos/data-lessons/NEON-R-Tabular-Time-Series/issues/72/comments","events_url":"https://api.github.com/repos/data-lessons/NEON-R-Tabular-Time-Series/issues/72/events","html_url":"https://github.com/data-lessons/NEON-R-Tabular-Time-Series/issues/72","id":123531121,"number":72,"title":"L01 -- metadata ","user":{"login":"lwasser","id":7649194,"avatar_url":"https://avatars.githubusercontent.com/u/7649194?v=3","gravatar_id":"","url":"https://api.github.com/users/lwasser","html_url":"https://github.com/lwasser","followers_url":"https://api.github.com/users/lwasser/followers","following_url":"https://api.github.com/users/lwasser/following{/other_user}","gists_url":"https://api.github.com/users/lwasser/gists{/gist_id}","starred_url":"https://api.github.com/users/lwasser/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lwasser/subscriptions","organizations_url":"https://api.github.com/users/lwasser/orgs","repos_url":"https://api.github.com/users/lwasser/repos","events_url":"https://api.github.com/users/lwasser/events{/privacy}","received_events_url":"https://api.github.com/users/lwasser/received_events","type":"User","site_admin":false},"labels":[{"url":"https://api.github.com/repos/data-lessons/NEON-R-Tabular-Time-Series/labels/enhancement","name":"enhancement","color":"84b6eb"}],"state":"closed","locked":false,"assignee":null,"milestone":null,"comments":1,"created_at":"2015-12-22T18:17:33Z","updated_at":"2016-02-17T02:21:59Z","closed_at":"2016-02-17T02:21:59Z","body":"Currently as written, this lesson needs more focus. The first part is about workflow - much of which was covered in L00. The second part is about  metadata which is SO IMPORTANT but not addressed with enough specificity to really take away discrete, useful learning objectives.\r\n\r\nThere is a very nice Ropensci package i'm looking into - it's not on CRAN yet i think is the issue.\r\n\r\nI have a few ideas for this but i'm going to leave this as an issue and will come back to it after all lessons have been reviewed. The other lessons look very good so far! This one just needs refinement and focus.  \r\n\r\nFollowup Notes\r\nLink to the eml file\r\nhttp://harvardforest.fas.harvard.edu/sites/harvardforest.fas.harvard.edu/files/data/eml/hf001.xml\r\n\r\nspoke with Carl B - dev of ropensci EML package. we should be able to quickly parse this file and grab metadata attributes. It's worth a try to see the workflow.\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/data-lessons/NEON-R-Tabular-Time-Series/issues/comments/184980485","html_url":"https://github.com/data-lessons/NEON-R-Tabular-Time-Series/issues/72#issuecomment-184980485","issue_url":"https://api.github.com/repos/data-lessons/NEON-R-Tabular-Time-Series/issues/72","id":184980485,"user":{"login":"lwasser","id":7649194,"avatar_url":"https://avatars.githubusercontent.com/u/7649194?v=3","gravatar_id":"","url":"https://api.github.com/users/lwasser","html_url":"https://github.com/lwasser","followers_url":"https://api.github.com/users/lwasser/followers","following_url":"https://api.github.com/users/lwasser/following{/other_user}","gists_url":"https://api.github.com/users/lwasser/gists{/gist_id}","starred_url":"https://api.github.com/users/lwasser/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/lwasser/subscriptions","organizations_url":"https://api.github.com/users/lwasser/orgs","repos_url":"https://api.github.com/users/lwasser/repos","events_url":"https://api.github.com/users/lwasser/events{/privacy}","received_events_url":"https://api.github.com/users/lwasser/received_events","type":"User","site_admin":false},"created_at":"2016-02-17T02:21:59Z","updated_at":"2016-02-17T02:21:59Z","body":"This has been resolved! 91a1f8fb4afe8b5bfad7324ed1a68882bb102a10"}}