FAIR for US

对美国公平

• 批准号: 2138314
• 负责人: Melissa Cragin
• 金额: $ 5万
• 依托单位: University of California-San Diego
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2022-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2138314&HistoricalAwards=false
• 关键词: FAIR; US

This workshop will build on the widespread interest in the Findable, Accessible, Interoperable, and Reusable (FAIR) data principles for Open Science to synthesize and develop a consensus about next steps for the FAIR movement in the U.S. among representative organizations and thought leaders in the country. The workshop will bring together a diverse group of experts and representative stakeholders from data and research communities, U.S. funders and mission agencies, and science societies, to seek input on the most promising concrete pathways for expanding uptake, integration, and implementation of the FAIR Principles in research practice and services. The primary aim of the workshop is to produce a scoping report that can serve as an agenda for the most promising strategies and approaches for FAIR capacity development incorporating the voices of academia, government, and industry. This will be an invitational meeting which will seek diverse participants who are outside the well-known public voices on Research Data Management systems and services, while also including leaders who are working at the intersections of data infrastructure development, domain sciences, and open science. International partners engaged in related initiatives will also be assembled for perspectives and experiences that will inform US efforts. The goal for the workshop is to structure it as a series of highly interactive facilitated sessions with specific targeted outcomes that will contribute to the project report.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

本次研讨会将建立在开放科学的可发现，可解释，可互操作和可重用（FAIR）数据原则的广泛兴趣的基础上，以综合和发展美国FAIR运动的下一步共识。 该研讨会将汇集来自数据和研究界、美国资助者和使命机构以及科学学会的各种专家和代表性利益相关者，寻求最有前途的具体途径，以扩大在研究实践和服务中吸收、整合和实施FAIR原则。 研讨会的主要目的是编写一份范围界定报告，作为最有前途的FAIR能力发展战略和方法的议程，纳入学术界、政府和工业界的声音。 这将是一次邀请会议，将寻求在研究数据管理系统和服务方面知名公众声音之外的不同参与者，同时也包括在数据基础设施开发，领域科学和开放科学交叉点工作的领导者。 参与相关倡议的国际合作伙伴也将聚集在一起，以了解美国努力的观点和经验。 该研讨会的目标是将其组织为一系列高度互动的促进会议，并有具体的目标成果，这将有助于项目报告。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。