2020
DOI: 10.1017/cts.2020.546
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A cloud-based bioinformatic analytic infrastructure and Data Management Core for the Expanded Program on Immunization Consortium

Abstract: This version may be subject to change during the production process.

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Cited by 7 publications
(5 citation statements)
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References 19 publications
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“…The Amazon Web Services (AWS) ( 52 ) ( https://aws.amazon.com ) cloud computing platform is used for encrypted, access-controlled data storage and data analysis resources. A data and analysis dashboard allows IMPACC investigators to upload and store raw and processed computable data, and features a centralized computing environment enabling investigators to perform their analyses ( 53 ). Therefore, the AWS platform provides a computing environment for developing, testing, and running scripts, and performing QC and QA on the raw data generated by the Core Labs.…”
Section: Data Management and Analysis Planmentioning
confidence: 99%
“…The Amazon Web Services (AWS) ( 52 ) ( https://aws.amazon.com ) cloud computing platform is used for encrypted, access-controlled data storage and data analysis resources. A data and analysis dashboard allows IMPACC investigators to upload and store raw and processed computable data, and features a centralized computing environment enabling investigators to perform their analyses ( 53 ). Therefore, the AWS platform provides a computing environment for developing, testing, and running scripts, and performing QC and QA on the raw data generated by the Core Labs.…”
Section: Data Management and Analysis Planmentioning
confidence: 99%
“…Data management and deposition. Data management for this project utilized a centralized cloud computing based management approach as previously described (54,55). Using quality control (QC) procedures for clinical, immunologic and epigenetic data, we implemented rigorous checks to ensure the reliability and accuracy of the datasets.…”
Section: Discussionmentioning
confidence: 99%
“…Data management for this project utilized a centralized cloud computing-based management approach as previously described [ 53 , 54 ]. Using quality control (QC) procedures for clinical, immunologic and epigenetic data, we implemented rigorous checks to ensure the reliability and accuracy of the datasets.…”
Section: Methodsmentioning
confidence: 99%