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Creating FAIR Data in Lake Observatories of the Future

Creating FAIR Data in Lake Observatories of the Future
在未来的湖泊观测站中创建公平数据
批准号:
1938743
负责人:
Kathleen Weathers
金额:
$5.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2019
资助国家:
美国
项目状态:
已结题
起止时间:
2019-12-01 至 2023-11-30

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中文摘要
翻译
湖泊观测站提供的数据对于深入了解生态系统对全球淡水资源需求的反应至关重要。为了帮助科学家研究这些问题,并激励教育工作者和公众了解和进一步认识湖泊生态系统对人类福祉的重要性,湖泊观测站需要加快其观测数据被他人发现和使用的速度。通过围绕FAIR原则(数据可查找、可访问、可互操作和可重复使用)组织会议,pi建议让全球湖泊生态学以及数据和信息科学界的成员参与其中,以确定和制定路线图,通过该路线图,未来的湖泊观测站可以向研究人员、管理人员和公众提供FAIR数据。计划在2020年春季举办为期一天半的研讨会。与会者将代表来自全球湖泊生态观测站网络(GLEON)的主要利益相关者,FAIR周围出现的数据和信息学社区,以及附属天文台和国际成员。该议程将包括审查从当前FAIR举措中吸取的经验教训;未来湖泊观测站的差距识别和机会;湖泊观测站数据评估和数据产品寿命讨论框架以及边缘计算的用例。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。
英文摘要
Lake observatories produce data critical to the development of insights into the response of ecosystems to the global demands on freshwater resources. To help scientists study these issues, and to inspire educators and the public to learn about and further appreciate the importance of lake ecosystems to human well being, lake observatories need to accelerate the rate at which their observational data can be discovered and used by others. Through organizing a conference around the FAIR principles (data that are Findable, Accessible, Interoperable, and Reusable), the PIs propose to engage members of both the global lake ecology and the data and information science communities to identify and develop a roadmap by which lake observatories of the future can deliver FAIR data to researchers, managers, and the public. A one-and-a-half day workshop is planned for Spring 2020. Attendees will represent key stakeholders from the Global Lake Ecological Observatory Network (GLEON), the data and informatics community emerging around FAIR, and affiliated observatory and international members. The agenda will include reviewing lessons learned from current FAIR initiatives; gap identification and opportunities for lake observatories of the future; framework for discussing data valuation and longevity of data products from lake observatories; and use cases for edge computing.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.
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会议论文
Conference: Frontiers in artificial intelligence and machine learning for ecology: 17-20 October 2022
Spokes: SMALL: NORTHEAST: Collaborative: Building the Community to Address Data Integration of the Ecological Long Tail
RCN:MSB:FRA: Grassroots global network science: a macrosystems model
Developing a Collaborative and Strategic Vision for Mohonk Preserve's Daniel Smiley Research Center
国内基金
海外基金
FAIR-数据驱动新材料研究
  • 批准号:
    --
  • 项目类别:
    国际(地区)合作与交流项目
  • 资助金额:
    --
  • 批准年份:
    2021
  • 负责人:
    张金仓
  • 依托单位:
PANDA/FAIR上粲重子产生的理论研究
  • 批准号:
    11247298
  • 项目类别:
    专项基金项目
  • 资助金额:
    5.0万元
  • 批准年份:
    2012
  • 负责人:
    欧阳珍
  • 依托单位: