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 N-亚硝胺是一类化学物质，其中包括一些已知的最强的诱变剂。许多N- 亚硝胺已经在动物模型中被证明具有潜在的致癌作用，一些已经被认为是 可能是人类致癌物质。N-亚硝胺是居住在Olin化学公司附近的人的主要担忧 超级基金网站，因为在附近的市政和私人油井中发现了N-亚硝基二甲胺(NDMA)。 NDMA也是PassamAquoddy部落的一个关切，因为用于水处理的方法是已知的 导致NDMA的形成。生物医学研究(BMR)项目将揭示N-N对健康的影响。 亚硝胺，以预测和预防疾病，以及环境科学和工程(ESE) 项目将创造技术来感知和摧毁N-亚硝胺，以保护人们免受这些 危险化学品。麻省理工学院SRP数据管理和分析核心(DMAC)的任务是建立和 改进数据管理，促进和支持跨学科协作，并利用计算 建模以获取新知识。具体目标1是继续改进麻省理工学院-Seek数据管理 并创建并持续改进综合数据管理计划。这些努力将 确保麻省理工学院SRP数据可查找、可访问、可互操作和可重复使用(公平)。具体目标2是 促进项目和核心之间的跨学科协作和数据集成，并分享最佳做法 以获得更广泛的影响。具体目标3是利用计算建模技术来揭示 对疾病的机械性理解，并提供有关风险的重要信息。重要的是，少校 麻省理工学院SRP的目标是通过相互作用和相互依赖的系统方法实现的 在所有项目和核心中。DMAC对于系统方法是必不可少的，因为它统一了团队 专注于所有组件的数据和结果，从而促进有效的协作。不断更新 还提供了敏捷性，因为研究人员可以在协作机会实时出现时抓住它们。 重要的是，DMAC还带来了先进的计算建模技术，因此数据流可以 在整个项目中合并。整合关于水中N-亚硝胺含量、位置和数量的知识 对其生物学效应的新认识将有助于理解风险并进行预防 战略。所有的研究都是由受训者实现的，他们的成功取决于研究翻译和 协调核心(RETCC)。传感器和分析方法的结果将由DMAC分析，以及 社区参与核心将使这些成为可能，该核心将与社区成员合作 获取水样。最后，通过会议和丰富活动，行政核心支持 DMAC在计划内的连接性方面，以及通过与地方、州和国家以及 部落组织。通过“团队科学”，一种培育合作的价值体系，DMAC将 推动麻省理工学院SRP保护人们免受危险环境化学品伤害的使命。