Accelerating Open and FAIR Data Practices Across the Earth, Space, and Environmental Sciences: A Pilot with the NSF to Support Public Access to Research Data

加速地球、空间和环境科学领域的开放和公平数据实践：与 NSF 合作支持公众获取研究数据的试点

• 批准号: 2025364
• 负责人: Shelley Stall
• 金额: $ 62.37万
• 依托单位: American Geophysical Union
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2025364&HistoricalAwards=false
• 关键词: Accelerating; Open; FAIR; Data; Practices

This project implements FAIR data practices across the Earth, space, and environmental sciences. By the end of the project, data citations for data funded by NSF EAR grants are captured in the NSF Public Access Repository (NSF PAR) and knowledge of leading practices and workflows around data citation are well known across the AGU community. This project, funded as a pilot activity for the NSF PAR system, will have the outcome of strengthening the ecosystem for data in support of publications. AGU will work with its publishing partner Wiley to ensure that data citations are tracked and exposed in articles. CHORUS will develop technical connections with Scholix to obtain data citation information to augment its publication information that it makes available to NSF. AGU will join Dryad as a member and use the Dryad repository as a location for data deposit when a discipline specific repository is unavailable. Outreach activities targeting awareness and adoption will be organized through AGU and ESIP’s Data FAIR workshops at scientific meetings, journal society meetings, and repository community meetings.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.

该项目在地球、空间和环境科学领域实施FAIR数据实践。在项目结束时，由NSF EAR资助的数据的数据引用被捕获到NSF公共访问存储库（NSF PAR）中，并且围绕数据引用的领先实践和工作流程的知识在AGU社区中众所周知。这个项目是作为国家科学基金会PAR系统的一项试点活动而资助的，其结果将是加强支持出版物的数据生态系统。AGU将与其出版合作伙伴Wiley合作，确保数据引用在文章中被跟踪和公开。CHORUS将与Scholix建立技术联系，以获取数据引用信息，以增加其向NSF提供的出版信息。AGU将作为成员加入Dryad，并在特定学科的存储库不可用时使用Dryad存储库作为数据存储的位置。AGU和ESIP的Data FAIR研讨会将在科学会议、期刊学会会议和存储库社区会议上组织旨在提高认识和采用的外展活动。该奖项反映了美国国家科学基金会的法定使命，并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，被认为值得支持。