STRIDES

跨步

• 批准号: 10569730
• 负责人: Terry Drinkwine
• 金额: $ 10万
• 依托单位: CARAHSOFT TECHNOLOGY CORPORATION
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10569730
• 关键词: Text

The Science and Technology Research Infrastructure for Discovery, Experimentation, and Sustainability (STRIDES) Initiative establishes partnerships with commercial cloud service providers (CSPs) to reduce economic and technological barriers to accessing and computing on large biomedical data sets to accelerate biomedical advances. A central tenet of the STRIDES Initiative is that data made available through these partnerships will incorporate standards endorsed by the biomedical research community to make data Findable, Accessible, Interoperable, and Reusable (FAIR). Stylized cloud image with interconnected nodes representing cloud computingThe STRIDES Initiative will help to address the NIH Strategic Plan for Data Science goals to modernize the biomedical data ecosystem and support storage and sharing of individual datasets by testing and assessing models of cloud infrastructure for NIH-funded data sets and repositories. Through the partnerships established by the STRIDES Initiative, CSPs will work directly with the NIH and its funded investigators to develop and test new ways to make large data sets and associated computational tools available and accessible by wider audiences. CSPs and investigators of the NIH Data Commons Pilot Phase will set up cloud storage and services for the three test case data sets used to develop principles, policies, and processes for the Data Commons. Services are expected to become available to the NIH-supported community after a series of pilot programs to refine policies and procedures for the initiative.

科学和技术研究基础设施的发现，实验，和可持续性（CMDES）计划建立与商业云服务提供商（CSP）的合作伙伴关系，以减少经济和技术障碍，访问和计算大型生物医学数据集，以加速生物医学的进步。该倡议的一个核心原则是，通过这些伙伴关系提供的数据将纳入生物医学研究界认可的标准，使数据可查找、可解释、可互操作和可重复使用。 具有代表云计算的互连节点的风格化云图像The RSDES Initiative将有助于实现NIH数据科学战略计划的目标，以实现生物医学数据生态系统的现代化，并通过测试和评估NIH资助的数据集和存储库的云基础设施模型来支持单个数据集的存储和共享。通过CSDES倡议建立的伙伴关系，CSP将直接与NIH及其资助的研究人员合作，开发和测试新的方法，使更广泛的受众可以获得和使用大型数据集和相关的计算工具。NIH数据共享试点阶段的CSP和研究人员将为用于制定数据共享原则、政策和流程的三个测试案例数据集建立云存储和服务。在一系列试点项目完善该倡议的政策和程序后，预计NIH支持的社区将获得服务。