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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Ferguson, Kelly K; Colacino, Justin A; Lewis, Ryan C et al. (2017) Personal care product use among adults in NHANES: associations between urinary phthalate metabolites and phenols and use of mouthwash and sunscreen. J Expo Sci Environ Epidemiol 27:326-332
Elkin, Elana R; O'Neill, Marie S (2017) Trends in Environmental Tobacco Smoke (ETS) Exposure and Preterm Birth: Use of Smoking Bans and Direct ETS Exposure Assessments in Study Designs. Chem Res Toxicol 30:1376-1383
Ferguson, Kelly K; McElrath, Thomas F; Pace, Gerry G et al. (2017) Urinary Polycyclic Aromatic Hydrocarbon Metabolite Associations with Biomarkers of Inflammation, Angiogenesis, and Oxidative Stress in Pregnant Women. Environ Sci Technol 51:4652-4660
Park, Hae-Ryung; Harris, Sean M; Boldenow, Erica et al. (2017) Group B Streptococcus Activates Transcriptomic Pathways Related to Premature Birth in Human Extraplacental Membranes In Vitro. Biol Reprod :
Ferguson, Kelly K; Meeker, John D; Cantonwine, David E et al. (2017) Environmental phenol associations with ultrasound and delivery measures of fetal growth. Environ Int 112:243-250
Shao, Gang; Agar, Jeffrey; Giese, Roger W (2017) Cold-induced aqueous acetonitrile phase separation: A salt-free way to begin quick, easy, cheap, effective, rugged, safe. J Chromatogr A 1506:128-133
Wang, Poguang; Giese, Roger W (2017) Recommendations for quantitative analysis of small molecules by matrix-assisted laser desorption ionization mass spectrometry. J Chromatogr A 1486:35-41
Ferguson, Kelly K; Chen, Yin-Hsiu; VanderWeele, Tyler J et al. (2017) Mediation of the Relationship between Maternal Phthalate Exposure and Preterm Birth by Oxidative Stress with Repeated Measurements across Pregnancy. Environ Health Perspect 125:488-494
Aung, Max T; Johns, Lauren E; Ferguson, Kelly K et al. (2017) Thyroid hormone parameters during pregnancy in relation to urinary bisphenol A concentrations: A repeated measures study. Environ Int 104:33-40
Yuan, Ye; Meeker, John D; Ferguson, Kelly K (2017) Serum polybrominated diphenyl ether (PBDE) concentrations in relation to biomarkers of oxidative stress and inflammation: The National Health and Nutrition Examination Survey 2003-2004. Sci Total Environ 575:400-405

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