eLwazi Open Science Data Platform for Africa

eLwazi 非洲开放科学数据平台

• 批准号: 10311569
• 负责人: Nicola Mulder
• 金额: $ 181.8万
• 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/10311569
• 关键词: Academia; Address; Africa; African; Authorization documentation; Automobile Driving; Bioinformatics; Catalogs; Complex; Core Facility; Data; Data Analyses; Data Science; Data Set; Development; Ensure; Environment; Feedback; Fostering; Funding; Generations; Genomics; Health; Health Sciences; Human; Industry; Infrastructure; International; Knowledge; Location; Machine Learning; Maps; Measures; Metadata; Methodology; Modeling; Monitor; Outcome; Output; Performance; Personal Satisfaction; Population; Privatization; Procedures; Process; Protocols documentation; Registries; Reproducibility; Research; Research Personnel; Research Support; Resources; Running; Science; Scientist; Secure; Services; Site; Structure; System; Techniques; Training; Training Programs; Training Support; Translating; Universities; Vision; Work; base; cloud platform; cohort; complex data; computing resources; cost; data access; data integration; data management; data modeling; data registry; data repository; data resource; data sharing; data standards; data tools; experience; flexibility; graphical user interface; health application; indexing; industry partner; innovation; interoperability; low and middle-income countries; multiple datasets; novel; open data; outreach; outreach program; programs; skills; success; support tools; tool; web interface

Abstract The application of data science methodologies to large-scale diverse and complex biomedical datasets for novel discoveries requires access to data, tools, workflows and computing infrastructure, along with training and support. With many of these lacking in Africa, including the skills for execution, there is a need to develop new infrastructure that takes into account the African context and addresses barriers present in low and middle income countries. We will develop an Open Data Science Gateway for the DS-I Africa consortium that includes the eLwazi platform and associated training, supporting tools and resources. eLwazi, symbolizing “knowledge”, will be a modular, scalable platform based on the Data Biosphere concept, that enables the application of data science tools to drive novel discoveries for health. From eLwazi workspaces, novice and advanced users will be able to: 1) search for data in a data repository and catalogue; 2) retrieve relevant datasets stored locally or at federated sites; 3) search and retrieve relevant tools and workflows; 4) execute their analyses on a choice of computing environment; and 5) visualize and share their results. Users will be an integral part of the development process, providing input on their needs and feedback, and will be supported through a helpdesk, user groups and a comprehensive data science training program. We will develop a transparent cost model and build African skills and infrastructure to ensure long term sustainability of the platform. The Open Data Science Gateway will facilitate open, collaborative research that strives to develop novel health applications in Africa and beyond. This African led initiative aligns with the vision and requirements of the emerging African Open Science Platform. An active outreach program will extend the reach of eLwazi to other cohorts, datasets and consortia and promote partnerships in academia and industry. Leveraging H3ABioNet’s expertise and capacity developed since 2012 together with international expertise from the leaders in the field, and using existing frameworks and standards will ensure a successful platform is implemented timeously and is interoperable with Common Fund programs and other international initiatives to ensure global applicability.

摘要 数据科学方法论在大规模、多样化和复杂生物医学中的应用 新发现的数据集需要访问数据、工具、工作流和计算 基础设施，以及培训和支持。其中许多在非洲是缺乏的，包括 执行技能，需要开发新的基础设施，以考虑到 非洲的背景和解决低收入和中等收入国家存在的障碍。我们 将为DS-I非洲财团开发一个开放数据科学门户，其中包括 Elwazi平台及相关培训、支持工具和资源。埃尔瓦兹，象征着 “知识”，将是一个基于数据生物圈概念的模块化、可扩展的平台， 使数据科学工具的应用能够推动健康方面的新发现。来自埃尔瓦齐 工作空间、新手和高级用户将能够：1)在数据存储库中搜索数据 和目录；2)检索存储在本地或联合站点的相关数据集；3)搜索和 检索相关工具和工作流；4)对选择的计算执行分析 环境；以及5)可视化和共享他们的结果。用户将成为 发展进程，提供关于他们的需求和反馈的投入，并将得到支持 通过服务台、用户组和全面的数据科学培训计划。我们会 制定透明的成本模式，建设非洲的技能和基础设施，以确保长期 平台的长期可持续性。开放数据科学门户将促进开放、 致力于在非洲和其他地区开发新的健康应用的合作研究。 这项由非洲人主导的倡议符合新兴的非洲公开赛的愿景和要求 科学平台。一项积极的外展计划将把埃尔瓦齐的影响范围扩大到其他人群， 数据集和联合体，并促进学术界和工业界的伙伴关系。利用 H3ABioNet的专业知识和能力自2012年以来与国际 来自该领域领导者的专业知识，并使用现有的框架和标准 确保成功的平台能够及时实施，并可与通用平台互操作 为项目和其他国际倡议提供资金，以确保其在全球的适用性。