Data Resource Core

项目总结 儿童第一数据资源核心(DRC)提供面向社区的基于云的门户工作空间 (CAVATICA)，以及支持利用儿童优先数据进行分析和科学发现的分析工具 由儿童第一数据协调核心(DCC)提供。该项目的目标在以下方面进行了扩展和改进 现有的儿童首创数据门户核心，为社会提供更广泛的数据资源支持 分析和科学发现。儿童优先门户为研究人员、临床医生、数据科学家、患者、 和他们的家庭成员拥有一个功能齐全的数据库，以探索、建立虚拟队列并分析临床 和基因组数据。作为该项目的一部分，门户将扩展到包括高级队列建设和 搜索能力，包括基因和变异以及新的分析能力。门户网站和CAVATICA 将有新的集成，例如变体工作台和轻量级科学应用程序的部署 更好地为广泛的用户赋能。刚果民主共和国还将努力了解新的和正在出现的 支持人工智能和机器学习(AI/ML)技术和工作流程的机会。要启用 作为对儿童优先数据的最广泛使用，刚果民主共和国致力于互操作性，并将利用以下标准 GA4GH DRS、NIH研究认证服务、通用工作流语言、FHIR和其他新兴标准 在NIH的数据环境中。

PROJECT SUMMARY The Kids First Data Resource Core (DRC) provides the community facing portal, cloud-based workspace (CAVATICA), and analytic tools that support analysis and scientific discovery utilizing Kids First Data as provisioned by the Kids First Data Coordinating Core (DCC). The aims of this project expand and improve upon the existing Kids First Data Portal Core to provide a wider scope of data resources to the community to support analysis and scientific discovery. The Kids First Portal provides researchers, clinicians, data scientists, patients, and their family members with a fully functional database to explore, build virtual cohorts, and analyze clinical and genomic data. As part of this project, the portal will be expanded to include advanced cohort building and search capabilities, including genes and variants as well as new analytic capabilities. The portal and CAVATICA will have new integrations, such as the variant workbench and deployment of lightweight scientific applications to better empower a wide range of users. The DRC will also work towards understanding new and emerging opportunities to support artificial intelligence and machine learning (AI/ML) techniques and workflows. To enable the broadest use of Kids First data, the DRC is committed to interoperability and will leverage standards such as GA4GH DRS, NIH Research Auth Service, Common Workflow Language, FHIR and other emerging standards across the NIH data landscape.