Spokes: SMALL: NORTHEAST: Collaborative: Building the Community to Address Data Integration of the Ecological Long Tail

辐条：小：东北：协作：构建社区，解决生态长尾的数据集成

• 批准号: 1761963
• 负责人: Kenneth Chiu
• 金额: $ 17.54万
• 依托单位: SUNY at Binghamton
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1761963&HistoricalAwards=false
• 关键词: Spokes; SMALL; NORTHEAST; Collaborative; Building

Frequently research on data integration carried out by computer scientists and resulting tools must be modified to fit the needs of domain practitioners (ecologists in this case). This challenge is a socio-technical, collective action problem that can be addressed through a combination of tools and incentives. The project proposes to holding a series of workshops along with proofs-of-concept implementations. These workshops will result in approaches to decentralize the sharing of data in the long tail, through socio-technical approaches that appropriately incentivize and facilitate data integration by smaller labs. Such an interdisciplinary community will provide crucial real-world input to computer science researchers, which will give their research into tools the potential for larger impact in ecological practice and will yield better tools for ecologists.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.

通常，计算机科学家对数据集成进行的研究和由此产生的工具必须进行修改，以满足领域从业者（在本例中为生态学家）的需求。 这一挑战是一个社会技术、集体行动问题，可以通过工具和激励措施的结合来解决。 该项目建议举办一系列研讨会以及概念验证实施。这些研讨会将通过社会技术方法，适当激励和促进小型实验室的数据集成，形成分散长尾数据共享的方法。 这样的跨学科社区将为计算机科学研究人员提供重要的现实世界投入，这将使他们的研究工具对生态实践产生更大影响，并为生态学家提供更好的工具。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。