Open Science Plan-Track-Assess Pathways

开放科学计划-跟踪-评估途径

• 批准号: 10107027
• 金额: $ 70.23万
• 依托单位: UNIVERSITY OF OXFORD
• 依托单位国家: 英国
• 项目类别: EU-Funded
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=10107027
• 关键词: Open; Science; Plan; Track; Assess

OSTrails aims to advance processes and instruments for Planning, Tracking, and Assessing scientific knowledge production beyond state-of-the art, working with various national and thematic contexts, improving existing infrastructure, and connecting key components. For the Plan stage, OSTrails aims to increase the efficacy of Data Management Plans, turning them from static narratives to living, interconnected “machine actionable” resources, making them the instrument of choice for improving quality of RDM. For the Track stage, OSTrails is set to establish an open, interoperable and high-quality ecosystem of Scientific Knowledge Graphs, enriching them to become evidence of communities’ FAIR implementations. For the Assess stage, OSTrails aims to deliver modular and extendable FAIR tests, towards “machine actionable” metrics, complemented by user guidance embedded in tools assisting any stage of research life cycle. Presented as the OSTrails Commons, the resulting methods, tools, services, guidance & training form the necessary building blocks to provide end-to-end solutions that serve: (i) researchers and research support personnel realise FAIR at any stage of the research life cycle, for any digital object; and (ii) research funding organisations, research performing organisations, publishers to drive the improvement of the quality of RDM for any shared, funded and published research product. OSTrails will lower the barriers to plan and practice FAIR research, moving the dial from FAIR assessment to FAIR assisting practice; also, to enhance traceability and improve evidence-based evaluation of research via a more networked scholarship. OSTrails is deeply rooted in the work of 38 partners, 22 research performing organisations, 5 ESFRI Clusters, and 24 pilots, acknowledging that there is no one-size-fits-all solution and that different national and thematic infrastructures have varying goals and priorities, as well as approaches to streamlining FAIR.

OSTrails旨在推进规划，跟踪和评估科学知识生产的过程和工具，超越最先进的水平，与各种国家和主题背景合作，改善现有基础设施，并连接关键组件。对于计划阶段，OSTrails旨在提高数据管理计划的效率，将其从静态叙述转变为动态的、互连的“机器可操作”资源，使其成为提高RDM质量的首选工具。在Track阶段，OSTrails将建立一个开放的、可互操作的、高质量的科学知识图生态系统，丰富它们，成为社区FAIR实现的证据。对于评估阶段，OSTrails旨在提供模块化和可扩展的FAIR测试，以实现“机器可操作”的指标，并辅之以嵌入在工具中的用户指南，以帮助研究生命周期的任何阶段。以OSTrails Commons的形式呈现，由此产生的方法，工具，服务，指导和培训形成了必要的构建模块，以提供端到端的解决方案，服务于：（i）研究人员和研究支持人员在研究生命周期的任何阶段，为任何数字对象实现FAIR;以及（ii）研究资助机构、研究执行机构、出版商，以推动任何共享的RDM质量的提高，资助和出版的研究产品。OSTrails将降低规划和实践FAIR研究的障碍，将拨盘从FAIR评估移动到FAIR辅助实践;此外，通过更加网络化的奖学金来增强可追溯性并改善基于证据的研究评估。OSTrails深深植根于38个合作伙伴，22个研究执行组织，5个ESFRI集群和24个试点的工作，承认没有一刀切的解决方案，不同的国家和主题基础设施有不同的目标和优先事项，以及简化FAIR的方法。