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

该探索性项目将以全面的方式测试FAIR（可查找、可访问、可互操作和可重用）数据原则，用于开放科学目的，用于太平洋Tetiaroa环礁的现场站数据收集。这个项目是一个及时的机会，可以利用Tetiaroa环礁上的新野外站，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NSF长期生态研究（LTER）站点，以及国际研究项目。基于地点的数据具有独特的性质，因为它们跨越了科学和人文学科，时间和空间（地理位置）作为用于将数据分配给“地点”（或嵌套的“地点”）的基础元数据。fairisland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，为开放科学的进步和采用做出贡献。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。

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.