2019 IEEE EMBS International Conference on Biomedical &Amp; Health Informatics (BHI) 2019
DOI: 10.1109/bhi.2019.8834657
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An Architecture for Metadata-driven Integration of Heterogeneous Sensor and Health Data for Translational Exposomic Research

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Cited by 2 publications
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“…We have developed and evaluated the MDR in different technologies including relational, 6 graph and document stores 8,9 of different use cases including data federation, 6 integration, 10 data quality assessment, 11 knowledge presentation, 12 and sensor-based exposomic research. 8,9 Future directions include developing methods automate metadata discovery process, 13,14 consume and store such metadata into the MDR, 15 maintenance of metadata provenance and trajectory using approaches like blockchain, and data and process orchestration in ultra large scale systems. This poster presentation is particularly relevant to informaticians developing methods and tools for translational research.…”
Section: Cbk Of Physiologic Time-series Data-the Sickbay Platformmentioning
confidence: 99%
“…We have developed and evaluated the MDR in different technologies including relational, 6 graph and document stores 8,9 of different use cases including data federation, 6 integration, 10 data quality assessment, 11 knowledge presentation, 12 and sensor-based exposomic research. 8,9 Future directions include developing methods automate metadata discovery process, 13,14 consume and store such metadata into the MDR, 15 maintenance of metadata provenance and trajectory using approaches like blockchain, and data and process orchestration in ultra large scale systems. This poster presentation is particularly relevant to informaticians developing methods and tools for translational research.…”
Section: Cbk Of Physiologic Time-series Data-the Sickbay Platformmentioning
confidence: 99%