Data Management and Analysis Core (DMAC) The Data Management and Analysis Core (DMAC) is designed to enhance the LSU Superfund Research Program's (SRP?s) understanding of how environmentally persistent free radicals (EPFRs) induce pulmonary/cardiovascular dysfunction, and how to prevent formation, enhance decay, and limit exposure to EPFRs, with the ultimate goal of improving human health and the environment. The five Projects and supporting Cores in the LSU SRP present considerable data management and biostatistical challenges that are crucial to the overall success of the Center. The DMAC?s Specific Aims are to (1) Develop and implement a comprehensive data management plan for LSU SRP; (2) Develop and implement informatics solutions, including data collection, distribution, and analysis tools and secure storage for data generated by LSU SRP Projects and Cores; (3) Provide statistical expertise to SRP Projects and Cores; (4) Provide expertise in the application and development of novel statistical models and methodology for analysis of complex multidimensional data; (5) Provide educational initiatives and resources to serve a wide audience of graduate students, postdoctoral researchers, and junior faculty. DMAC members possess the knowledge, skills, and experiences necessary for tackling the complex multi-disciplinary issues to be addressed by the LSU SRP. We will implement a comprehensive data management strategy leveraging recent advances within the LSU system in high-speed computing and data distribution, along with stable and secure data collection, management, and storage platforms for facilitating multi-disciplinary collaborations. Our Core is committed to promoting transparent and reproducible research through the adoption of software, providing time-stamped version control over documents, files, and code, such as the Open Science Framework and the workflowr R package for statistical analysis. The DMAC biostatisticians will expand the toolsets available to the Superfund research community by developing novel approaches and methods for understanding the relationship between EPFR exposures and respiratory health effects using (multivariate) multiple mediation analysis, as well as the use of reliable machine learning methods for dimension reduction in the investigation of the microstructural pathway of EPFR formation and decay mechanisms, among other advancements. Last, the DMAC will develop and promote a wide array of initiatives in various formats and venues for educating SRP investigators, postdoctoral researchers, and graduate students on topics such as effective data management strategies, study design principles, and on conducting transparent, valid, generalizable, and repeatable research.

Public Health Relevance

Data Management and Analysis Core (DMAC) This Core will implement a comprehensive data management and analysis plan based on proven data capture, distribution, and storage technology, coupled with support from a highly experienced statistical team. Our integrated approach will facilitate collaborations among researchers using the rich datasets generated by SRP investigators and others to answer important questions of environmental and public health significance.

National Institute of Health (NIH)
National Institute of Environmental Health Sciences (NIEHS)
Hazardous Substances Basic Research Grants Program (NIEHS) (P42)
Project #
Application #
Study Section
Special Emphasis Panel (ZES1)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Louisiana State University A&M Col Baton Rouge
Baton Rouge
United States
Zip Code
Hijano, Diego R; Siefker, David T; Shrestha, Bishwas et al. (2018) Type I Interferon Potentiates IgA Immunity to Respiratory Syncytial Virus Infection During Infancy. Sci Rep 8:11034
Haywood, Benjamin J; White, John R; Cook, Robert L (2018) Investigation of an early season river flood pulse: Carbon cycling in a subtropical estuary. Sci Total Environ 635:867-877
Connick, J Patrick; Reed, James R; Backes, Wayne L (2018) Characterization of Interactions Among CYP1A2, CYP2B4, and NADPH-cytochrome P450 Reductase: Identification of Specific Protein Complexes. Drug Metab Dispos 46:197-203
Potter, Phillip M; Guan, Xia; Lomnicki, Slawomir M (2018) Synergy of iron and copper oxides in the catalytic formation of PCDD/Fs from 2-monochlorophenol. Chemosphere 203:96-103
Harmon, Ashlyn C; Hebert, Valeria Y; Cormier, Stephania A et al. (2018) Particulate matter containing environmentally persistent free radicals induces AhR-dependent cytokine and reactive oxygen species production in human bronchial epithelial cells. PLoS One 13:e0205412
Jaligama, Sridhar; Patel, Vivek S; Wang, Pingli et al. (2018) Radical containing combustion derived particulate matter enhance pulmonary Th17 inflammation via the aryl hydrocarbon receptor. Part Fibre Toxicol 15:20
Dugas, Tammy R (2018) Unraveling mechanisms of toxicant-induced oxidative stress in cardiovascular disease. Curr Opin Toxicol 7:1-8
Oyana, Tonny J; Podila, Pradeep; Wesley, Jagila Minso et al. (2017) Spatiotemporal patterns of childhood asthma hospitalization and utilization in Memphis Metropolitan Area from 2005 to 2015. J Asthma 54:842-855
Deese, Rachel D; Weldeghiorghis, Thomas K; Haywood, Benjamin J et al. (2017) Influence of surfactants and humic acids on Artemia Franciscana's embryonic phospho-metabolite profile as measured by31P NMR. Aquat Toxicol 186:188-195
Reed, James R; Backes, Wayne L (2017) Physical Studies of P450-P450 Interactions: Predicting Quaternary Structures of P450 Complexes in Membranes from Their X-ray Crystal Structures. Front Pharmacol 8:28

Showing the most recent 10 out of 108 publications