An Efficient Data Management Framework For Puerto Rico Testsite For Exploring Contamination Threats (Protect)

Shi Dong,Zlatan Feric,Leiming Yu,David R. Kaeli,John Meeker,Ingrid Y. Padilla,José Cordero,Carmen Velez Vega,Zaira Rosario,Akram Alshawabkeh

2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)（2018）

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摘要

In this poster paper, we present an efficient data management framework used to support ongoing research in the NIEHS-supported Puerto Rico Testsite for Exploring Contamination Threats (PROTECT) Center. Our framework provides an efficient database subsystem and a series of associated workflows, supporting the tasks of data import, data cleaning, and secure transmission of privacy-sensitive PROTECT data, while enabling online data inquiry, visualization, and data processing to support data analytics.

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关键词

data management,Puerto Rico Testsite for Exploring Contamination Threats,PROTECT Center,privacy-sensitive PROTECT data transmission security,data visualization,National Institute of Environmental Health Sciences,database management,data analytics,data processing,data cleaning,data import

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