EAGER: The FAIR Island Project for Place-based Open Science

EAGER：公平岛基于地点的开放科学项目

• 批准号: 2132549
• 负责人: John Chodacki
• 金额: $ 29.62万
• 依托单位: University of California, Office of the President, Oakland
• 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: 2021-07-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2132549&HistoricalAwards=false
• 关键词: EAGER; FAIR; Island; Project; Place

This exploratory project will test FAIR (Findable, Accessible, Interoperable, and Reusable) data principles for Open Science purposes in a comprehensive manner for field station data gathering on the Pacific atoll of Tetiaroa. This project is a timely opportunity to leverage the new field station on the atoll of Tetiaroa which has close ties to U.S. institutions through the University of California, including a nearby NSF Long Term Ecological Research (LTER) site, as well as international research programs. Place-based data have a unique quality in that they span the sciences and humanities with time and space (geolocation) acting as foundational metadata used to assign data to “place” (or nested “places”). The FAIR Island Project will build interoperability between pieces of critical research infrastructure -- Data Management Plans (DMPs), research practice, DOIs, and publications contributing to the advancement and adoption of Open Science.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.

这一探索性项目将为开放科学目的全面测试FAIR（可查找、可解释、可互操作和可重复使用）数据原则，用于太平洋泰蒂亚罗阿环礁的野外台站数据收集。 该项目是一个利用泰蒂亚罗阿环礁上新的野外站的及时机会，该站通过加州大学与美国机构有着密切的联系，包括附近的国家科学基金会长期生态研究（LTER）站点以及国际研究计划。 基于地点的数据具有独特的性质，因为它们跨越科学和人文学科，时间和空间（地理位置）作为基础元数据，用于将数据分配给“地点”（或嵌套的“地点”）。FAIR岛项目将建立关键研究基础设施之间的互操作性-数据管理计划（DMP），研究实践，DOI和出版物有助于促进和采用开放科学。该奖项反映了NSF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。