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: 10311568
• 负责人: Nicola Mulder
• 金额: $ 224.24万
• 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/10311568
• 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; Logistics; Methods; 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 resource; data sharing; data submission; data tools; ethical legal social implication; experience; flexibility; innovation; insight; member; multidisciplinary; novel; open data; preservation; science teacher; 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.

项目总结/摘要 DS-I非洲开放数据科学平台（ODSP）和协调中心（CC） 由Mulder教授（现任PI H3 ABioNet）和Michelle博士之间建立了良好的合作关系 Skelton（现任H3 Africa CC协调员），由计算生物学部门主持 和开普敦大学（UCT）的IDM。用8年的经验，在领导一个锅 非洲信息学联合会，目标是数据和信息学资源和能力 开发，穆德将建立ODSP网关及其eLwazi平台，一个灵活， 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， 选择特定于数据的工具和数据科学方法，并在 选择适合非洲环境的计算环境，促进新的发现 为了健康Escherton将利用她7年的经验，协调大型H3非洲 联合体，以制定一个有效的CC处理所有联合行政，协作和 财团的后勤需求。 这对强大的合作伙伴将把他们目前的团队和活动从H3非洲过渡到 DS-I非洲，结束一个，开始新的，互补的努力， 经验丰富的团队随时准备提供即时影响。他们会互相支持 活动，技术上来自ODSP，操作/后勤上来自CC，并共同开发 有效的数据科学和专业发展培训计划。ODSP将支持 CC负责网站和工具开发，而CC将在活动策划方面支持ODSP， 管理数据存放、访问策略和协议以及与DS-I的集成 非洲财团。 结果将是：1）与用户一起开发开放、透明和可持续的ODSP 提供投入，以确保满足他们的需求，同时提供适当的用户和行政 支持; 2）选择公共和私有云以及非洲当地的计算设施 数据存储和分析; 3）获得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 技术生物医学数据; 4）全面的数据科学和专业 发展培训计划; 5）合并财团政策，文件和 资源; 6）有效组织的联合会活动、讲习班和活动; 7）途径 探索新的合作和转化理念以及与工业界的伙伴关系， 其他利益攸关方。这些共同提供了一个完全支持的 促进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，由非洲人在非洲开发，为非洲科学家的利益， 研究参与者。