An Efficient Data Management Framework for Puerto Rico Testsite for Exploring Contamination Threats (PROTECT)

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.