The Data Management and Modeling Core (Core D) plays a critical role in achieving the Center objectives by serving as a central repository of Center data and provides for cross-indexing of the diverse data sets produced by the environmental and biomedical projects and cores in the Center. An additional role of Core D is to ensure the reliability of the data, including cleaning, replication and backup, as well as the protection of the data, including de-identification of human subjects, and secure and authenticated access. Core D allows data generated by the projects to be cross-indexed by all projects based on a global PROTECT Data Dictionary that includes common index fields (subject ID, GIS coordinates) to foster sharing and integration. Core D also provides a rich set of modeling and statistical analysis toolsets to support Project-level objectives. The combined collection of data and tools allows PROTECT to work seamlessly across project domains and effectively ties environmental factors to human subject outcomes. Finally, Core D is leveraging state-of-the-art in search-based technologies that have been developed at Google to support search and Data Mining. To support Center goals and ensure its long-term impact, we will continue to build upon the rich infrastructure developed in the first three years of this Center. We have partnered with EarthSoft, a major developer of environmental data management software, to provide enhanced database capabilities appropriate for all Center projects. We will continue to support cleaning, indexing, documenting, and security of all Center-based data through a secure, online, database system. To allow data to be analyzed by each project, we will provide advanced statistical/analysis tools integrated into the backend of the database system. Specifically, we will work with Project 1 to incorporate appropriate biostatistics tools, with Project 2 to integrate toxicological data, with Project 3 to assist in nontargeted detection, with Project 4 to utilize appropriate environmental assessment tools and Geographic Information System (GIS), and with Project 5 to integrate and model remediation field data. To allow the data in the center to be easily understood by a range of communities, we are integrating mapping and data visualization capabilities and enabling effective dissemination of data to a broad audience. To achieve our Center-level objectives that tie environmental factors to health-related outcomes, Core D provides Data Mining, modeling and analysis for all projects by leveraging state-of-the-art computing capabilities. Core D provides a suite of Data Mining tools that go well beyond standard statistical techniques. Finally, we will work closely with the Community Engagement Core, Training and Research Translation cores to generate mapping and statistical information required by our partner cores to foster awareness, research translation, education, and high quality publications.

Public Health Relevance

The Data Management and Modeling Core (Core D) supports the management of all Project-level data in the Center, and provides sophisticated data analysis and modeling to answer Center-level questions for PROTECT. Core D has developed a rich cache of information that insures the long-term impact of the work in this Center and its ability to effectively report back to the affected community.

National Institute of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
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Northeastern University
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Zhou, Wei; Meng, Xiaoxiao; Rajic, Ljiljana et al. (2018) ""Floating"" cathode for efficient H2O2 electrogeneration applied to degradation of ibuprofen as a model pollutant. Electrochem commun 96:37-41
Ashrap, Pahriya; Watkins, Deborah J; Calafat, Antonia M et al. (2018) Elevated concentrations of urinary triclocarban, phenol and paraben among pregnant women in Northern Puerto Rico: Predictors and trends. Environ Int 121:990-1002
Ferguson, Kelly K; Meeker, John D; Cantonwine, David E et al. (2018) Environmental phenol associations with ultrasound and delivery measures of fetal growth. Environ Int 112:243-250
Cathey, Amber; Ferguson, Kelly K; McElrath, Thomas F et al. (2018) Distribution and predictors of urinary polycyclic aromatic hydrocarbon metabolites in two pregnancy cohort studies. Environ Pollut 232:556-562
Lan, Jiaqi; Rahman, Sheikh Mokhlesur; Gou, Na et al. (2018) Genotoxicity Assessment of Drinking Water Disinfection Byproducts by DNA Damage and Repair Pathway Profiling Analysis. Environ Sci Technol 52:6565-6575
Wang, Poguang; Giese, Roger W (2018) Interpretation of Mass Spectral Data for the Cisplatin 1,2 Intrastrand Guanine-Guanine Adduct. Chem Res Toxicol 31:1106-1107
Hojabri, Shirin; Rajic, Ljiljana; Alshawabkeh, Akram N (2018) Transient reactive transport model for physico-chemical transformation by electrochemical reactive barriers. J Hazard Mater 358:171-177
Ferguson, Kelly K; Kamai, Elizabeth M; Cantonwine, David E et al. (2018) Associations between repeated ultrasound measures of fetal growth and biomarkers of maternal oxidative stress and inflammation in pregnancy. Am J Reprod Immunol 80:e13017
Elkin, Elana R; Harris, Sean M; Loch-Caruso, Rita (2018) Trichloroethylene metabolite S-(1,2-dichlorovinyl)-l-cysteine induces lipid peroxidation-associated apoptosis via the intrinsic and extrinsic apoptosis pathways in a first-trimester placental cell line. Toxicol Appl Pharmacol 338:30-42
Aker, Amira M; Johns, Lauren; McElrath, Thomas F et al. (2018) Associations between maternal phenol and paraben urinary biomarkers and maternal hormones during pregnancy: A repeated measures study. Environ Int 113:341-349

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