Grid technology for supporting health education and measuring the health outcome

Grid technology for supporting health education and measuring the health outcome. Sukhija, N., Sevin, S., Datta, A., K., & Coulter, E. In Proceedings of the Practice and Experience on Advanced Research Computing (PEARC '18), 7, 2018. Association for Computing Machinery.
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In this paper, we present our developed health-IT solution that address these challenges: developing the strategies not only to store such a vast amount of data but also making those available to the researchers for further analysis that can measure the outcome on the participant's health. The developed community health grid (C-Grid) solution to store, manage and share large amounts of these instruction materials and participant's health related data, where the remote management and analysis of this data grid is performed using iRODS, the Integrated Rule-Oriented Data System is discussed and presented in this paper.

@inproceedings{
 title = {Grid technology for supporting health education and measuring the health outcome},
 type = {inproceedings},
 year = {2018},
 keywords = {Community health,Cyberinfrastructure,Data grid,Data integration,Grid computing,Health education,IRODS,Mobile technology,Portal,Virtual,XSEDE},
 month = {7},
 publisher = {Association for Computing Machinery},
 day = {22},
 id = {cd44f519-9c9d-3208-aac4-48f822df5acc},
 created = {2019-08-26T16:31:55.075Z},
 accessed = {2019-08-26},
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 profile_id = {42d295c0-0737-38d6-8b43-508cab6ea85d},
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 last_modified = {2019-08-26T16:31:55.075Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
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 abstract = {In this paper, we present our developed health-IT solution that address these challenges: developing the strategies not only to store such a vast amount of data but also making those available to the researchers for further analysis that can measure the outcome on the participant's health. The developed community health grid (C-Grid) solution to store, manage and share large amounts of these instruction materials and participant's health related data, where the remote management and analysis of this data grid is performed using iRODS, the Integrated Rule-Oriented Data System is discussed and presented in this paper.},
 bibtype = {inproceedings},
 author = {Sukhija, Nitin and Sevin, Sonny and Datta, Arun K. and Coulter, Eric},
 doi = {10.1145/3219104.3229247},
 booktitle = {Proceedings of the Practice and Experience on Advanced Research Computing (PEARC '18)}
}

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