Persistent IDs: Application to Workflow and Sensor Applications

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dc.contributor.authorLuo, Yu
dc.contributor.authorRatharanjan, Kunalan
dc.contributor.authorZhou, Quan
dc.contributor.authorPlale, Beth
dc.date.accessioned2018-08-01T19:41:57Z
dc.date.available2018-08-01T19:41:57Z
dc.date.issued2018-05-09
dc.description.abstractA poster for presenting the investigations on PRAGMA Airbox Sensor Data and PRAGMA Rice Genomics project. In poster sections, we demonstrate the PID assignment strategy for data for streaming data under Airbox use case, and viability of provenance as part of the PID KI record under Rice Genomics use case.
dc.description.sponsorshipFunded in part by the National Science Foundation under grants #1550126, #1234983, #1659310 and by a grant from Research Data Alliance/US.
dc.identifier.urihttps://hdl.handle.net/2022/22313
dc.language.isoen
dc.subjectPRAGMA 34; persistent IDs; Airbox Sensor data; International Rice Research Institute
dc.titlePersistent IDs: Application to Workflow and Sensor Applications
dc.typePresentation

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