Core B: Data Management and Analysis Core

核心B：数据管理与分析核心

• 批准号: 10688012
• 负责人: Stuart S Levine
• 金额: $ 25.15万
• 依托单位: MASSACHUSETTS INSTITUTE OF TECHNOLOGY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10688012
• 关键词: Animal Model; Biological; Biomedical Research; Cancer Etiology; Carcinogens; Chemicals; Collaborations; Communities; Computer Models; DNA Damage; Data; Data Analyses; Data Management Resources; Data Set; Dimethylnitrosamine; Discipline; Disease; Ensure; Environmental Engineering technology; Environmental Science; FAIR principles; Family; Fostering; Goals; Hazardous Chemicals; Hazardous Substances; Health; Human; Infrastructure; Intervention; Knowledge; Learning; Methods; Mission; Molecular; Multiomic Data; Municipalities; Mutagens; N-nitrosodimethylamine; National Institute of Environmental Health Sciences; Nitrosamines; Nitroso Compounds; Pathway interactions; Persons; Prevention strategy; Privatization; Probability; Public Health; Quality Control; Regulation; Research; Research Personnel; Research Project Grants; Rest; Risk; Science; Scientist; Superfund; System; Techniques; Technology; Time; Training; Translational Research; Tribes; Update; Vision; Water; Work; analytical method; biomarker development; carcinogenicity; community engagement; computerized tools; contaminated drinking water; data hub; data integration; data interoperability; data management; data quality; data sharing; data streams; data submission; diverse data; environmental chemical; improved; knowledge integration; mathematical model; meetings; member; multiple omics; novel; phenotypic data; prevent; programs; quality assurance; remediation; sensor; success; superfund chemical; superfund site; timeline; tribal organization; water sampling; water treatment

PROJECT SUMMARY/ABSTRACT – DATA MANAGEMENT AND ANALYSIS CORE N-Nitrosamines are a family of chemicals that include some of the most potent mutagens known. Many N- nitrosamines have been shown to be potently carcinogenic in animal models, and some have been deemed probably human carcinogens. N-Nitrosamines are a major concern for people who live near the Olin Chemical Superfund Site, because N-nitrosodimethylamine (NDMA) has been found in nearby municipal and private wells. NDMA is also a concern of the Passamaquoddy Tribe, because the methods used for water treatment are known to lead to formation of NDMA. The Biomedical Research (BMR) Projects will reveal the health effects of N- nitrosamines, so as to predict and prevent disease, and the Environmental Science and Engineering (ESE) Projects will create technology to sense and destroy N-nitrosamines, so as to protect people from these hazardous chemicals. The mission of the MIT SRP Data Management and Analysis Core (DMAC) is to build and improve data management, to foster and enable cross-disciplinary collaborations, and to leverage computational modeling to gain new knowledge. Specific Aim 1 is to continue to improve the MIT-SEEK data management platform and to create and continuously improve a Comprehensive Data Management Plan. These efforts will ensure that MIT SRP data are findable, accessible, interoperable, and reusable (FAIR). Specific Aim 2 is to foster cross-disciplinary collaboration and data integration among Projects and Cores and to share best practices for a broader impact. Specific Aim 3 is to leverage computational modeling techniques in order to reveal mechanistic understanding of disease and provide important information about risk. Importantly, the major goals of the MIT SRP are made possible by a Systems Approach of interactions and interdependencies among all Projects and Cores. The DMAC is essential to the Systems Approach, because it unifies the team to focus on data and results from all components, so that effective collaboration is fostered. Constant updating also provides agility, since researchers can embrace collaborative opportunities as they arise in real time. Importantly, the DMAC also brings advanced computational modeling techniques so that data streams can be merged across the program. Integrating knowledge of what, where, and how much N-nitrosamines are in water with new knowledge of their biological effects will contribute to the understanding of risk and enable prevention strategies. All research is made possible by Trainees, and their success rests on the Research Translation and Coordination Core (RETCC). Results from sensors and analytical methods will analyzed by the DMAC, and these will be made possible by the Community Engagement Core, which will work with community members to obtain water samples. Finally, through meetings and enrichment activities, the Administrative Core supports the DMAC both in terms of connectivity within the program, and via interactions with local, state, and national and tribal organizations. Through “Team Science,” a system of values that nurture collaborations, the DMAC will propel the MIT SRP's mission to protect people from hazardous environmental chemicals.

项目摘要/摘要-数据管理和分析核心