What You Should Know:

你应该知道的：

– Researchers at the Icahn School of Medicine at Mount Sinai and the University of California San Diego have been awarded an $8.5 million grant to create a data integration hub aimed at accelerating novel therapeutics and cures for diseases within initiatives supported by the National Institutes of Health (NIH) Common Fund..

-西奈山伊坎医学院和加利福尼亚大学圣地亚哥分校的研究人员获得了850万美元的赠款，用于创建一个数据集成中心，旨在加速美国国立卫生研究院支持的疾病新型治疗和治疗（NIH）共同基金。。

– NIH Common Fund programs are large-scale projects designed to collect cutting-edge biomedical research data from human cells, tissues, and patients to rapidly advance biomedical research.

–NIH共同基金计划是大型项目，旨在从人体细胞，组织和患者那里收集尖端的生物医学研究数据，以迅速推进生物医学研究。

The Common Fund Data Ecosystem (CFDE) Program

共同基金数据生态系统（CFDE）计划

The Common Fund Data Ecosystem (CFDE) program was created by the NIH to enhance the findability, accessibility, interoperability, and reusability of data generated by NIH Common Fund programs, thereby ensuring adherence to the FAIR guiding principles for scientific data.

NIH创建了共同基金数据生态系统（CFDE）计划，以提高NIH共同基金计划生成的数据的可查找性，可访问性，互操作性和可重用性，从而确保遵守科学数据的公平指导原则。

Building on the successes of the pilot phase of the CFDE program, and with a five-year investment of $17 million, the NIH has established two new centers: the CFDE Data Resource Center and the CFDE Knowledge Center. Investigators from Icahn Mount Sinai and the University of California San Diego were selected to lead the CFDE Data Resource Center, and investigators from the Broad Institute of MIT and Harvard were awarded the CFDE Knowledge Center..

基于CFDE计划试点阶段的成功，并以1700万美元的五年投资，NIH建立了两个新中心：CFDE数据资源中心和CFDE知识中心。选择了西奈山伊坎和加利福尼亚大学圣地亚哥分校的研究人员领导CFDE数据资源中心，麻省理工学院和哈佛大学布罗德研究所的研究人员获得了CFDE知识中心。。

Currently, most Common Fund datasets are dispersed across distinct data portals, resulting in underutilization due to the absence of standardized community practices and shared data processing protocols. By enabling seamless discovery of datasets across the Common Fund data, uniformly processing the data, and better combining data from different programs, the investigators anticipate the emergence of synergistic discoveries..

目前，大多数常见基金数据集分散在不同的数据门户网站上，由于缺乏标准化的社区实践和共享数据处理协议，导致利用不足。通过实现跨共同基金数据的数据集的无缝发现，统一处理数据以及更好地组合来自不同计划的数据，研究人员预计会出现协同发现。。

By working with the Common Fund data coordination centers, the Data Resource Center and Knowledge Center are expected to produce highly valuable computational resources for the entire field of biomedical research.

通过与共同基金数据协调中心合作，数据资源中心和知识中心有望为整个生物医学研究领域产生非常宝贵的计算资源。

CFDE Key Objectives

CFDE的主要目标

The research teams work will involve:

研究团队的工作将涉及：

Establishing a Data Resource Portal to enable user-friendly queries of Common Fund data setsDeveloping the CFDE Portal for the ecosystem, housing information and links to related resources, trainings, and eventsAssisting Common Fund programs in standardizing how metadata, data, and digital resources are handled in the ecosystem, and liaising with other relevant NIH efforts.

建立数据资源门户网站，以便用户友好地查询公共基金数据集为生态系统，住房信息开发CFDE门户网站，并链接到相关资源，培训和事件辅助公共基金计划，以标准化元数据，数据和数字资源的处理方式在生态系统中，并与其他相关的NIH工作联系。

Leadership

领导

Dr. Ma’ayan and Dr. Subramaniam will lead the Data Resource Center. The Knowledge Center award will be led by Jason Flannick, PhD, Assistant Professor of Pediatrics at Harvard Medical School and the Division of Genetics and Genomics at Boston Children’s Hospital, and an Associate Member of the Broad Institute, along with Dr.

Ma'ayan博士和Subramaniam博士将领导数据资源中心。知识中心奖将由哈佛医学院儿科助理教授Jason Flannick博士，波士顿儿童医院遗传学和基因组学系，Broad研究所副成员以及Dr。

Noel Burtt, Director of the Diabetes Research & Knowledge Portals Program at the Broad Institute and Dr. Kyle Gaulton, Associate Professor in Pediatrics at the University of California San Diego..

Broad研究所糖尿病研究与知识门户计划主任Noel Burtt和加利福尼亚大学圣地亚哥分校儿科副教授Kyle Gaulton博士。。