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 (OSCS) 提供先进生物医学计算和临床信息学方面的科学和技术专业知识，以支持 NIH 校内研究计划；支持、维护并提供先进超级计算平台的访问权限，供 NIH 生物医学研究界使用；与 NIH 研究所和中心合作，支持使用数学和计算机科学方法来推进医学信息学、数据可视化、自然语言处理、数据挖掘、生物和医学数据库集成及相关领域的生物和生物医学研究工作；并开发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。 OSCS 由三个功能组组成： (1)云计算服务组管理NIH的云计算基础设施，并为NIH的研究项目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规划举措，并实施 NIH 资助的生物医学数据科学生态系统现代化计划；运营 NIH 发现、实验和可持续发展科学技术研究基础设施 (STRIDES) 计划，通过该计划，NIH 和 NIH 资助的研究人员可以访问来自 STRIDES 合作伙伴的基于云的技术和相关服务，并将其应用于他们的研究；为 NIH 的研究人员、数据所有者和研究支持人员提供培训和其他服务，以确保现有工具和技术的最佳使用。 （2）科学应用服务小组开发先进的算法和数据可视化应用程序，全面且可扩展；实施已知的解决方案、算法或方法，以快速有效地满足 NIH 校内合作者的生物医学成像和信息学需求；应用或开发新颖的系统、应用程序、算法、模型和机器学习技术，以有效地提供可信的数据分析；并与 NIH 校内研究人员合作，支持跨研究、临床和运营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的路径。 (3) 高性能计算服务小组规划、管理、支持和运营 NIH 的核心企业级高性能计算环境，以支持 NIH 的校内研究；开发和支持生物医学和生命科学应用程序、相关生物医学数据库、编程语言和工具；为 NIH 校内工作人员提供与 NIH 高性能计算资源和科学应用相关的培训和技术专业知识；研究高性能计算、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方面的新技术发展，供 NIH 使用。