Workshop: Optimizing NEON Science; Fall, 2016; Boulder, Colorado

研讨会：优化 NEON 科学；

• 批准号: 1649997
• 负责人: Eugene Kelly
• 金额: $ 9.98万
• 依托单位: Battelle Memorial Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1649997&HistoricalAwards=false
• 关键词: Workshop; Optimizing; NEON; Science; Fall

The National Ecological Observatory Network was designed to address grand challenge questions on the continental scale, but has suffered from some lack of rigorous community engagement in recent years. This award will support a workshop with overarching objectives to ensure that the NEON is employing the most effective means of data acquisition and dissemination, has the broadest utility to stakeholder communities, and remains within programmatic constraints. The goals of the workshop are to: (i) assess the current dataflow designs in light of both meeting current technical advancements and the expected needs of the stakeholder communities; (ii) develop new approaches for integration of NEON data with those of stakeholder communities, including NEON site hosts and others with site presence; and (iii) provide a venue to strategically re-engage with key members of the research community, including site owners, and others (e.g., NSF networks) who are generating data that can be synergistically enhanced by collaborations with NEON. The workshop will include early-, mid-, and late-career participants and encourage future engagement opportunities with our participants. Building upon previous NSF awards to NEON, the workshop will also include participants from Historical Black Colleges and Universities (HBCUs) and Tribal Serving institutions (TSIs). Workshop proceedings will be shared through web-based documents, direct mailings, and formal peer-reviewed publicationsNEON is designed around an open access data model to assess the seven National Academy of Sciences Grand Challenges (biodiversity, biogeochemistry, climate change, ecohydrology, infectious disease, invasive species and land use change). An outcome of this workshop will be summary reviews of the planned and representative NEON dataflows, and an assessment of the appropriateness of these in light of the current state of the science. These summary reviews will be structured (focused) to provide technical assessment, identify future improvements in methodologies, with associated time frames and investments required to effect those improvements, along with an assessment of the additional value these would provide the community. The summary reviews will also be designed to inform current and future NEON activities. Recommendations from the workshop may be placed in a queue for future planning and implementation as part of a continuous improvement process of NEON in Operations.

国家生态观测站网络旨在解决大陆范围内的重大挑战问题，但近年来一直缺乏严格的社区参与。该奖项将支持一个具有总体目标的讲习班，以确保NEON采用最有效的数据获取和传播手段，对利益相关者社区具有最广泛的效用，并保持在计划限制范围内。研讨会的目标是：(i)评估当前的数据流设计，以满足当前的技术进步和利益相关方社区的预期需求；（ii）开发新方法，将NEON数据与利益相关方社区（包括NEON站点主机和其他站点存在者）的数据整合；（iii）提供一个场所，战略性地与研究界的关键成员重新接触，包括网站所有者和其他（例如，NSF网络），他们正在生成可以通过与NEON合作协同增强的数据。研讨会将包括职业生涯早期、中期和晚期的参与者，并鼓励未来与我们的参与者接触的机会。在之前NSF授予NEON奖项的基础上，研讨会还将包括来自历史悠久的黑人学院和大学（HBCUs）和部落服务机构（TSIs）的参与者。会议记录将通过基于网络的文件、直接邮寄和正式的同行评审出版物共享。snon是围绕开放获取数据模型设计的，用于评估美国国家科学院的七大挑战（生物多样性、生物地球化学、气候变化、生态水文学、传染病、入侵物种和土地利用变化）。本次研讨会的一个成果将是概要审查计划的和有代表性的NEON数据流，并根据目前的科学状况评估这些数据流的适当性。这些总结审查的结构（重点）将提供技术评估，确定方法的未来改进，以及实现这些改进所需的相关时间框架和投资，以及对这些将为社区提供的附加价值的评估。摘要审查也将为当前和未来的NEON活动提供信息。讲习班提出的建议可能会被列入未来规划和实施的队列中，作为NEON在运营中的持续改进过程的一部分。