Development of an integrated informatics and data infrastructure for women’s precision health Abstract Arkansas Children’s Research Institute (ACRI), Arkansas Children’s Nutrition Center (ACNC), University of Arkansas for Medical Sciences (UAMS), and University of Arkansas at Fayetteville (UAF) are building an innovative Women’s Precision Health Platform for establishing relationships between dietary intake, medical history, metabolome, microbiome, and women’s health outcomes. The program will leverage past, present and future research studies of mother and child health at the USDA-ARS funded ACNC and clinical research programs within ACRI and UAMS, integrating data from studies capturing rich phenotypic data, including metabolomics, microbiome, genomics and proteomics. This initiative focuses on developing a shared data infrastructure between UAMS, ACRI and UAF using models established for the IDeA National Resource for Quantitative Proteomics. The -Infrastructure will support women’s precision nutrition and health research. This will involve development of a research database, software, and sustainable cloud-based infrastructure to facilitate machine learning and AI data analytics for metabolomics, genomics, proteomics, microbiome, clinical biochemical, and patient personal phenotypic data. We will develop a data visualization dashboard to support monitoring, measuring, analyzing, and visualizing multi-omics data, as well as integrate classic multivariate statistical methods, time-series data analysis methods, and deep learning-based integration and learning models. Finally, we will develop workshops and training materials to provide students cross-training in medical applications database development and informatics research tools. Ultimately this database and research tools will support fundamental research in the understanding of how critical dietary and lifestyle factors influence health and disease in women.

Development of an integrated informatics and data infrastructure for women’s precision health Project Narrative The proposed program will leverage past women’s health cohort and intervention study data to develop an integrated environment for storage, management, integration, and analysis of metabolomics, genomics, proteomics, microbiome, clinical biochemical, and patient personal phenotypic data, for precision health research. The integrative tools will include a research database, software, and cloud-based infrastructure designed to facilitate machine learning and AI data analytics; a dashboard to support monitoring, measuring, analyzing, and visualizing data - providing improved data interfaces and interoperability workflows to support research into the relations between women’s genetics, environment and health.