Scientific Computing

科学计算

• 批准号: 10273044
• 负责人: Andreas Baxevanis
• 金额: $ 492.71万
• 依托单位: CENTER FOR INFORMATION TECHNOLOGY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10273044
• 关键词: Address; Adoption; Algorithms; Archives; Area; Biological; Biological Sciences; Biomedical Computing; Biomedical Research; Clinical; Clinical Informatics; Cloud Computing; Communities; Computing Methodologies; Data; Data Analyses; Data Science; Databases; Ecosystem; Ensure; Environment; Funding; Genomics; High Performance Computing; Image Analysis; Infrastructure; Institutes; Intramural N.I.H. Research Support; Intramural Research Program; Machine Learning; Mathematics; Medical; Medical Informatics; Methods; Modeling; Modernization; Molecular Biology; Natural Language Processing; Performance; Programming Languages; Research; Research Infrastructure; Research Personnel; Research Support; Science; Services; Strategic Planning; Supercomputing; System; Technical Expertise; Techniques; Technology; Training; Trust; United States National Institutes of Health; Work; bioimaging; biological research; biomedical data science; biomedical informatics; central database; cloud based; computer science; computing resources; data mining; data visualization; drug discovery; functional group; imaging informatics; insight; mathematical sciences; new technology; novel; programs; scientific computing; structural biology; technology development; tool

The Office of Scientific Computing Services (OSCS) provides scientific and technical expertise in advanced biomedical computing and clinical informatics in support of the NIH Intramural Research Program; supports, maintains, and provides access to advanced supercomputing platforms for use by the NIH biomedical research community; works with NIH Institutes and Centers to support the use of mathematical and computer science approaches to advance biological and biomedical research efforts in medical informatics, data visualization, natural language processing, data mining, biological and medical database integration, and related areas; and develops novel computational methodologies and centralized database solutions to address and advance emerging biomedical research initiatives and challenges. OSCS is comprised of three functional groups: (1) The Cloud Computing Services group manages NIHs cloud computing infrastructure and provides associated technical and scientific support for NIH research programs; supports NIH-wide data science strategic planning initiatives and implements plans for modernizing the NIH-funded biomedical data science ecosystem; operates the NIH Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative, through which NIH and NIH-funded researchers can access cloud-based technologies and related services from STRIDES partners to apply to their research; and provides training and other services to researchers, data owners, and research support staff across NIH to ensure optimal use of available tools and technologies. (2) The Scientific Application Services group develops advanced algorithms and data visualization applications that are comprehensive and extensible; implements known solutions, algorithms, or methods to quickly and efficiently meet the biomedical imaging and informatics needs of NIH intramural collaborators; applies or develops novel systems, applications, algorithms, models, and machine learning techniques to efficiently deliver trusted data analysis; and collaborates with NIH intramural researchers to support biomedical informatics and data science services across research, clinical, and operational entities to shorten the path from data to insight. (3) The High Performance Computing Services group plans, manages, supports, and operates NIH's core enterprise-wide, high-performance computational environment in support of NIH intramural research; develops and supports biomedical and life science application programs, associated biomedical databases, programming languages, and tools; provides training and technical expertise for NIH intramural staff relating to NIH high-performance computational resources and scientific applications; and researches new technology developments in high-performance computing, life science applications, biomedical databases, and high-performance storage and network archiving for use by NIH.

科学计算服务办公室（OSC）提供了高级生物医学计算和临床信息学的科学和技术专长，以支持NIH壁内研究计划；支持，维护和提供对NIH生物医学研究社区使用的高级超级计算平台的访问；与NIH机构和中心合作，以支持使用数学和计算机科学方法的使用，以推进医学信息学，数据可视化，自然语言处理，数据挖掘，生物学和医学数据库集成以及相关领域的生物学和生物医学研究工作；并开发了新颖的计算方法和集中式数据库解决方案，以解决和推进新兴的生物医学研究计划和挑战。 OSC由三个官能团组成： （1）云计算服务组管理NIHS云计算基础架构，并为NIH研究计划提供相关的技术和科学支持；支持NIH范围内的数据科学战略计划计划，并实施计划，以现代化NIH资助的生物医学数据科学生态系统；运营NIH科学技术研究基础设施，用于发现，实验和可持续性（大步）计划，通过该计划，NIH和NIH资助的研究人员可以通过该计划访问基于云的技术和相关服务，从大步研究中，可以适用于他们的研究；并向NIH的研究人员，数据所有者和研究人员提供培训和其他服务，以确保最佳使用可用工具和技术。 （2）科学应用服务小组开发了全面且可扩展的高级算法和数据可视化应用程序；实施已知的解决方案，算法或方法，以快速有效地满足NIH室内合作者的生物医学成像和信息学需求；应用或开发新型系统，应用，算法，模型和机器学习技术，以有效地提供可信赖的数据分析；并与NIH室内研究人员合作，以支持跨研究，临床和操作实体的生物医学信息学和数据科学服务，以缩短从数据到洞察力的路径。 （3）高性能计算服务小组计划，管理，支持和运营NIH的核心企业范围内，高性能计算环境，以支持NIH室内研究；开发和支持生物医学和生命科学应用程序，相关的生物医学数据库，编程语言和工具；为与NIH高性能计算资源和科学应用有关的NIH室内人员提供培训和技术专业知识；并研究了高性能计算，生命科学应用，生物医学数据库以及高性能存储和网络归档的新技术发展。