{"action":"opened","issue":{"url":"https://api.github.com/repos/gkiar/reading/issues/40","repository_url":"https://api.github.com/repos/gkiar/reading","labels_url":"https://api.github.com/repos/gkiar/reading/issues/40/labels{/name}","comments_url":"https://api.github.com/repos/gkiar/reading/issues/40/comments","events_url":"https://api.github.com/repos/gkiar/reading/issues/40/events","html_url":"https://github.com/gkiar/reading/issues/40","id":316320200,"number":40,"title":"Paper: Best practices in data analysis and sharing in neuroimaging using MRI | Nature Neuroscience","user":{"login":"gkiar","id":4883288,"avatar_url":"https://avatars3.githubusercontent.com/u/4883288?v=4","gravatar_id":"","url":"https://api.github.com/users/gkiar","html_url":"https://github.com/gkiar","followers_url":"https://api.github.com/users/gkiar/followers","following_url":"https://api.github.com/users/gkiar/following{/other_user}","gists_url":"https://api.github.com/users/gkiar/gists{/gist_id}","starred_url":"https://api.github.com/users/gkiar/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gkiar/subscriptions","organizations_url":"https://api.github.com/users/gkiar/orgs","repos_url":"https://api.github.com/users/gkiar/repos","events_url":"https://api.github.com/users/gkiar/events{/privacy}","received_events_url":"https://api.github.com/users/gkiar/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-04-20T15:49:43Z","updated_at":"2018-04-20T15:49:43Z","closed_at":null,"author_association":"OWNER","body":"URL: [http://www.nature.com.proxy3.library.mcgill.ca/articles/nn.4500](http://www.nature.com.proxy3.library.mcgill.ca/articles/nn.4500) \n### This paper does... \nPrescribe best practices for code and data which should be followed for maximally reproducible papers. Table 1 very nicely summarizes different levels of reproducibility and may be referenced later.\n\nThe only universal recommendation from this manuscript is the \"transparent and complete reporting of all facets of a study.\" When writing Clowdr, I should mention that the tool facilitates this for computational studies.\n"}}
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