{"action":"created","issue":{"url":"https://api.github.com/repos/BANDA-connect/NDA-sprint/issues/7","repository_url":"https://api.github.com/repos/BANDA-connect/NDA-sprint","labels_url":"https://api.github.com/repos/BANDA-connect/NDA-sprint/issues/7/labels{/name}","comments_url":"https://api.github.com/repos/BANDA-connect/NDA-sprint/issues/7/comments","events_url":"https://api.github.com/repos/BANDA-connect/NDA-sprint/issues/7/events","html_url":"https://github.com/BANDA-connect/NDA-sprint/issues/7","id":155379263,"number":7,"title":"Create a query and data visualization tool over the NDAR database exported on AWS","user":{"login":"mgxd","id":14110164,"avatar_url":"https://avatars.githubusercontent.com/u/14110164?v=3","gravatar_id":"","url":"https://api.github.com/users/mgxd","html_url":"https://github.com/mgxd","followers_url":"https://api.github.com/users/mgxd/followers","following_url":"https://api.github.com/users/mgxd/following{/other_user}","gists_url":"https://api.github.com/users/mgxd/gists{/gist_id}","starred_url":"https://api.github.com/users/mgxd/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/mgxd/subscriptions","organizations_url":"https://api.github.com/users/mgxd/orgs","repos_url":"https://api.github.com/users/mgxd/repos","events_url":"https://api.github.com/users/mgxd/events{/privacy}","received_events_url":"https://api.github.com/users/mgxd/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"milestone":null,"comments":2,"created_at":"2016-05-17T22:41:22Z","updated_at":"2016-05-25T17:41:07Z","closed_at":null,"body":"Goal: To develop a graph based representation of the NDAR database exported on AWS.\r\n\r\nImpact: Allow programmatic queries of the database\r\n\r\nParticipants: Satrajit Ghosh (MIT) and Nolan Nichols (SRI)\r\n\r\nDeliverables: An amazon machine image that exposes a SPARQL endpoint through blazegraph, and a set of initial queries that can be graphically modified by users.\r\n\r\nFuture development and maintenance: It will be used by the parent project for its internal data and will be maintained online in a GitHub repo, also containing public versions of assays. \r\n"},"comment":{"url":"https://api.github.com/repos/BANDA-connect/NDA-sprint/issues/comments/221650884","html_url":"https://github.com/BANDA-connect/NDA-sprint/issues/7#issuecomment-221650884","issue_url":"https://api.github.com/repos/BANDA-connect/NDA-sprint/issues/7","id":221650884,"user":{"login":"satra","id":184063,"avatar_url":"https://avatars.githubusercontent.com/u/184063?v=3","gravatar_id":"","url":"https://api.github.com/users/satra","html_url":"https://github.com/satra","followers_url":"https://api.github.com/users/satra/followers","following_url":"https://api.github.com/users/satra/following{/other_user}","gists_url":"https://api.github.com/users/satra/gists{/gist_id}","starred_url":"https://api.github.com/users/satra/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/satra/subscriptions","organizations_url":"https://api.github.com/users/satra/orgs","repos_url":"https://api.github.com/users/satra/repos","events_url":"https://api.github.com/users/satra/events{/privacy}","received_events_url":"https://api.github.com/users/satra/received_events","type":"User","site_admin":false},"created_at":"2016-05-25T17:41:07Z","updated_at":"2016-05-25T17:41:07Z","body":"@obenshaindw - we should definitely look at the neo4j instance. the one reason i like blazegraph is that it supports both sparql and the tinkerpop. also rdf gives us the ontology connection to data dictionaries as well. i think hacking at graph dbs and creating useful queries would be a nice outcome from this sprint, especially if we can couple it within an intuitive interface.\r\n\r\none reason we had this based on initial conversations with dan was the absence of programmable API on the NDA frontend. so if this can be merged with a programmable API that would be great.\r\n\r\nour basic idea was:\r\n\r\n1. expose data through miNDAR\r\n2a. hack miNDAR with d2rq.org or r2rml\r\n2b. direct table to graph conversion \r\n3. store the converted data in a graph db\r\n4. build query and visualization tools around the graph db\r\n\r\nin addition, we should consider two separate data types:\r\n\r\n1. the file based data\r\n2. the numeric/text data directly in the db\r\n\r\n"}}
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