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

经常由计算机科学家进行的数据集成研究和由此产生的工具必须进行修改，以适应领域从业者（在这种情况下是生态学家）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相结合加以解决。该项目提议沿着一系列的研讨会，并进行概念验证。这些讲习班将通过适当激励和促进小型实验室数据整合的社会技术方法，制定分散长尾数据共享的方法。这样一个跨学科的社区将为计算机科学研究人员提供重要的现实世界的投入，这将使他们的研究工具在生态实践中产生更大的影响，并将为生态学家提供更好的工具。该奖项反映了NSF的法定使命，并被认为值得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来支持。

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.