eLwazi Open Data Science Platform and Coordinating Center

eLwazi 开放数据科学平台和协调中心

• 批准号: 10666676
• 负责人: Nicola Mulder
• 金额: $ 220.82万
• 依托单位: UNIVERSITY OF CAPE TOWN
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-20 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10666676
• 关键词: Accountability; Address; Africa; African; Agreement; Biomedical Research; Computational Biology; Country; Data; Data Analyses; Data Science; Data Set; Data Storage and Retrieval; Deposition; Development; Educational workshop; Elements; Ensure; Environment; Event; Fostering; Goals; Grant; Health; Human; Industrialization; Industry; Informatics; Infrastructure; Joints; Knowledge; Methods; Organizational Efficiency; Outcome; Output; Participant; Policies; Policy Developments; Privatization; Reporting; Research; Research Personnel; Resource Informatics; Resource Sharing; Resources; Running; Science Policy; Scientist; Sum; Techniques; Technology; Training; Training Programs; Translations; Universities; Vision; Work; cohesion; data access; data management; data sharing; data submission; ethical, legal, and social implication; experience; flexibility; innovation; insight; member; multidisciplinary; novel; open data; preservation; success; tool; tool development; website development

Project Summary/Abstract The Open Data Science Platform (ODSP) and Coordinating Center (CC) for DS-I Africa is led by a well-established partnership between Prof Mulder (current PI H3ABioNet) and Dr Michelle Skelton (current Coordinator, H3Africa CC) hosted within the Computational Biology Division and IDM at the University of Cape Town (UCT). Using 8 years of experience in leading a pan African informatics consortium aimed at data and informatics resource and capacity development, Mulder will establish the ODSP gateway and its eLwazi platform, a flexible, scalable African open data science platform for depositing, sharing and accessing data, selecting data-specific tools and data science methods, and deploying tools and workflows on a choice of computing environments suited to the African context, facilitating novel discoveries for health. Skelton will use her 7 years of experience in coordinating the large H3Africa consortium to develop an efficient CC addressing all the joint administrative, collaborative and logistical needs of the consortium. Together, this formidable pair will transition their current teams and activities from H3Africa to DS-I Africa, wrapping up one and starting the new, complementary endeavour with highly experienced teams ready to provide immediate impact. They will support each other’s activities, technically from the ODSP and operationally/logistically from the CC and co-develop an effective data science and professional development training program. ODSP will support the CC on website and tool development, while the CC will support ODSP in events planning, managing data deposition, access policies and agreements and integration with the DS-I Africa consortium. The outcomes will be: 1) an open, transparent and sustainable ODSP developed with user input to ensure their needs are met, accompanied by adequate user and administrative support; 2) access to a choice of public and private Cloud and local African computing facilities for data storage and analysis; 3) access to a comprehensive set of African and other relevant datasets, tools/workflows and resources required for the implementation of data science techniques to biomedical data; 4) a comprehensive data science and professional development training program; 5) consolidated consortium policies, documents and resources; 6) efficiently organized consortium activities, workshops and events; 7) avenues for exploration of new collaborative and translational ideas and partnerships with industry and other stakeholders. Collectively these provide the elements required for a fully supported cohesive consortium facilitating the application of data science to health. The ODSP and CC are African led, developed in Africa by Africans and for the benefit of African scientists and research participants.

项目摘要/摘要 由DS-I非洲开放数据科学平台(ODSP)和协调中心(CC)牵头 莫德教授(目前的Pi H3ABioNet)和米歇尔博士之间建立了良好的合作伙伴关系 Skelton(H3Africa CC现任协调员)在计算生物学司内主持 和开普敦大学(UCT)的IDM。使用8年领导PAN的经验 以数据和信息资源和能力为目标的非洲信息联盟 开发时，穆德将建立ODSP网关及其Elwazi平台， 可扩展的非洲开放数据科学平台，用于存储、共享和访问数据， 选择数据特定的工具和数据科学方法，并在上部署工具和工作流 适合非洲环境的计算环境选择，促进新发现 为了健康。Skelton将利用她7年的经验来协调大型H3非洲 财团将制定高效的CC，以解决所有联合行政、协作和 财团的后勤需求。 这对令人敬畏的组合将把他们目前的团队和活动从H3非洲转移到 DS-I非洲，结束一个，并开始新的，互补的努力，高度 经验丰富的团队随时准备提供立竿见影的效果。他们将相互支持 活动，技术上来自ODSP，业务/后勤来自CC，并共同制定 有效的数据科学和职业发展培训计划。ODSP将支持 协调委员会负责网站和工具的开发，而协调委员会将在活动规划方面支持ODSP， 管理数据存储、访问策略和协议以及与DS-I的集成 非洲财团。 结果将是：1)与用户共同制定一个开放、透明和可持续的ODSP 输入以确保其需求得到满足，并辅之以适当的用户和管理 支持；2)可选择使用公共云和私有云以及非洲本地计算设施 用于数据存储和分析；3)获取一套全面的非洲和其他有关 实施数据科学所需的数据集、工具/工作流程和资源 生物医学数据的技术；4)综合数据科学和专业 发展培训计划；5)综合联合体政策、文件和 资源；6)有效地组织财团活动、讲习班和活动；7)途径 探索新的协作和翻译想法以及与业界和 其他利益相关者。这些元素共同提供了完全受支持的 促进将数据科学应用于健康的有凝聚力的联盟。ODSP和CC 是非洲人领导的，由非洲人开发的，为非洲科学家和 研究参与者。