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.
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.
|Watkins, Deborah J; Ferguson, Kelly K; Anzalota Del Toro, Liza V et al. (2015) Associations between urinary phenol and paraben concentrations and markers of oxidative stress and inflammation among pregnant women in Puerto Rico. Int J Hyg Environ Health 218:212-9|
|Yu, Xue; Ghasemizadeh, Reza; Padilla, Ingrid et al. (2015) Spatiotemporal changes of CVOC concentrations in karst aquifers: analysis of three decades of data from Puerto Rico. Sci Total Environ 511:10-Jan|
|Ferguson, Kelly K; McElrath, Thomas F; Chen, Yin-Hsiu et al. (2015) Repeated measures of urinary oxidative stress biomarkers during pregnancy and preterm birth. Am J Obstet Gynecol 212:208.e1-8|
|Boldenow, Erica; Hogan, Kelly A; Chames, Mark C et al. (2015) Role of cytokine signaling in group B Streptococcus-stimulated expression of human beta defensin-2 in human extraplacental membranes. Am J Reprod Immunol 73:263-72|
|Rajic, Ljiljana; Fallahpour, Noushin; Yuan, Songhu et al. (2014) Electrochemical transformation of trichloroethylene in aqueous solution by electrode polarity reversal. Water Res 67:267-75|
|Ferguson, Kelly K; Cantonwine, David E; Rivera-González, Luis O et al. (2014) Urinary phthalate metabolite associations with biomarkers of inflammation and oxidative stress across pregnancy in Puerto Rico. Environ Sci Technol 48:7018-25|
|Ferguson, Kelly K; McElrath, Thomas F; Ko, Yi-An et al. (2014) Variability in urinary phthalate metabolite levels across pregnancy and sensitive windows of exposure for the risk of preterm birth. Environ Int 70:118-24|
|Korir, Michelle L; Knupp, David; LeMerise, Kathryn et al. (2014) Association and virulence gene expression vary among serotype III group B streptococcus isolates following exposure to decidual and lung epithelial cells. Infect Immun 82:4587-95|
|Yao, Yuanyuan; Wang, Poguang; Giese, Roger (2014) Evaporative derivatization of phenols with 2-sulfobenzoic anhydride for detection by matrix-assisted laser desorption/ionization mass spectrometry. Rapid Commun Mass Spectrom 28:653-61|
|Fortenberry, Gamola Z; Meeker, John D; Sánchez, Brisa N et al. (2014) Paraoxonase I polymorphisms and attention/hyperactivity in school-age children from Mexico City, Mexico. Environ Res 132:342-9|
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