Data Management and Analysis Core

数据管理与分析核心

• 批准号: 10707926
• 负责人: Arthur J Goldsmith
• 金额: $ 23.19万
• 依托单位: COLUMBIA UNIVERSITY HEALTH SCIENCES
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-21 至 2027-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10707926
• 关键词: Administrator; Adopted; Agreement; Biological Markers; Biological Sciences; Code; Collaborations; Collection; Communication; Communities; Complex; Computer Security; Computer software; Data; Data Analyses; Data Collection; Data Science; Data Set; Databases; Dedications; Development; Directories; Doctor of Philosophy; Earth science; Education; Educational workshop; Electronics; Ensure; Fostering; Geoscience; Goals; Health; Health Sciences; Heart; Individual; Information Systems; Infrastructure; Lead; Methods; Mission; Needs Assessment; Ontology; Outcome; Ownership; Performance; Planet Earth; Policy Making; Positioning Attribute; Procedures; Process; Protocols documentation; Quality Control; Reporting; Reproducibility; Reproducibility of Results; Research; Research Design; Research Personnel; Resources; Science; Security; Services; Signal Recognition Particle; Source; Specialist; Specific qualifier value; Statistical Methods; Statistical Models; Superfund; Synchrotrons; System; Techniques; Technology; Testing; Time trend; Training; Translations; Tribes; United States Indian Health Service; Universities; Visualization; Water Pollutants; Work; analysis pipeline; citizen science; community engagement; complex data; data access; data communication; data harmonization; data integration; data interoperability; data management; data mining; data quality; data resource; data sharing; education resources; experience; high dimensionality; improved; innovation; interoperability; machine learning method; meetings; member; method development; multidimensional data; operation; outreach program; physical model; programs; public database; quality assurance; remote sensing; repository; searchable database; tool; trend analysis; tribal community; user friendly software; user-friendly; water quality; web based interface; web page; web portal; web site

DMAC Summary The Data Management and Analysis Core (DMAC) will ensure wide accessibility of the complex and integrated health and earth science data generated within the Columbia University Northern Plains Superfund Research Program (CUNP-SRP). These efforts will be guided by an overarching mission to treat and share data according to the principles of tribal data sovereignty and the research code set in place by our partnering communities in the Northern Plains. The DMAC will dedicate significant resources to supporting application of existing analysis methods, developing innovative analysis techniques, and ensuring long-term reproducibility of results by leveraging statistical and data science expertise. The DMAC is centrally positioned in the CUNP-SRP and will serve all Projects and Cores, including the Community Engagement Core (CEC) and Research Experience and Training Coordination Core (RETCC), through three aims. Aim 1 will integrate and enhance data management, sharing, and interoperability. We will use established capabilities of the Data Management Unit at Columbia University to develop customized data management and quality assurance plans for each Project/Core, manage data collection and databases, coordinate and harmonize datasets, and provide for their efficient querying. The DMAC will create streamlined data communication across Projects and with external partners and data requestors, following appropriate procedures approved by our partnering tribal communities, by creating an integrated webpage that provides central access to the databases and offers advanced search capabilities. The webpage will act as a platform to locate, access, and mine data while meeting the data sharing requirements of each study. We will also share data via this Database Directory and will work with investigators, data owners, and governmental or policymaking agencies to locate additional available online data resources. Aim 2 will expand statistical resources, data analysis capability, and reproducibility tools. DMAC will provide expertise in established methods for data analysis including statistical and physical modeling. It will also support development of innovative methods, particularly in complex and high-dimensional data inherent to omics research and to complex environmental and geospatial research. Additionally, DMAC will develop, test, and apply robust implementations of new methods for complex data and ensure long-term reproducibility of findings through containerized analysis pipelines. Aim 3 will educate investigators, trainees, and citizen scientists in data sovereignty, sharing, management and analysis. DMAC will collaborate with the RETCC to organize workshops, seminars, and other educational opportunities. Methods, results, and educational resources will be shared with all stakeholders via CUNP-SRP outreach through the CEC, Admin Core, and including the DMAC webpage. Procedures established by DMAC will strive to meet the needs of all investigators and partnering communities, adding substantial value to our collaborations within the CUNP-SRP, across other SRP centers, and to the wider community.

DMAC摘要 数据管理和分析核心（DMAC）将确保综合体和综合 在哥伦比亚大学北方平原超级基金研究中产生的健康和地球科学数据 方案（CUNP-SRP）。这些工作将以处理和共享数据的总体使命为指导 根据部落数据主权的原则和我们合作伙伴制定的研究准则， 北方平原的社区。DMAC将投入大量资源，以支持 现有的分析方法，开发创新的分析技术，并确保 通过利用统计和数据科学专业知识取得成果。DMAC位于CUNP-SRP的中心位置 并将服务于所有项目和核心，包括社区参与核心（CEC）和研究 经验和培训协调核心（RETCC），通过三个目标。目标1将整合和加强 数据管理、共享和互操作性。我们将使用数据管理的既定功能 哥伦比亚大学的一个单位，为每个项目制定定制的数据管理和质量保证计划。 项目/核心，管理数据收集和数据库，协调和统一数据集，并提供其 高效查询DMAC将在项目之间以及与外部 合作伙伴和数据请求者，遵循我们的合作部落社区批准的适当程序， 通过创建一个集成的网页，提供对数据库的集中访问，并提供高级搜索 能力的该网页将作为一个平台，定位，访问和挖掘数据，同时满足数据共享 每项研究的要求。我们还将通过该数据库目录共享数据，并将与调查人员合作， 数据所有者和政府或决策机构，以查找更多可用的在线数据资源。 目标2将扩大统计资源、数据分析能力和再现性工具。DMAC将 提供数据分析方法方面的专业知识，包括统计和物理建模。它还将 支持创新方法的开发，特别是在组学固有的复杂和高维数据方面 研究和复杂的环境和地理空间研究。此外，DMAC将开发、测试和 对复杂数据应用新方法的稳健实施，并确保结果的长期重现性 通过集装箱化的分析管道。目标3将教育调查人员、受训人员和公民科学家 数据主权、共享、管理和分析。DMAC将与RETCC合作， 讲习班、研讨会和其他教育机会。方法、结果和教育资源将被 通过CEC、Admin Core和包括DMAC在内的CUNP-SRP外展与所有利益攸关方共享 网页。DMAC制定的程序将努力满足所有调查人员和合作伙伴的需求。 社区，为我们在CUNP-SRP内、其他SRP中心的合作增加了实质性价值， 以及更广泛的社区。