CyberTraining: Implementation: Medium: Collaborative Research: Computational and Data-Centric Ecology Training

虽然科学界能够以更低的成本和更快的速度获得有关生态和其他问题的大量数据，但充分利用这些大数据流所需的培训却没有跟上。该项目将创建一个名为Data4Ecology的在线学习和社区平台，以支持将计算、统计和数据科学整合到本科生态学课程和课程中。为此，该提案将建立一个免费访问的网站，使生态学和相关STEM学科的学生和其他人能够发展必要的计算和统计推理技能，以解决与生态学和数据科学相关的问题。这个名为Data4Ecology的项目将开发和部署一个网站，用于管理、整合和嵌入开放的教育和学习资源，这些资源将为各学院和大学的众多生态学和环境科学本科生提供培训。这个项目将把计算、统计学和数据科学整合到生态学课程中。该项目将在提供专业发展和传播项目产品的同时，建立和提供可访问的协作和社区资源。该项目将通过为研究人员和教育工作者提供以数据为中心的生态数据、资源和课程的专用存储库，为更大的科学界服务。此外，该项目的学习资源将被移植到STATS4STEM，这是一个由美国国家科学基金会资助的项目，收集数据、计算和统计方面的教育资源，供教育工作者和学生在多个层面上使用，从而使项目之外的用户能够接触到更多基于生态的以数据为中心的学习资源。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。

While the scientific community has ever cheaper and more rapid access to large amounts of data with respect to ecology and other issues, the training necessary to take full advantage of these large data streams has not kept up. This project will create an online learning and community platform known as Data4Ecology to support the integration of computing, statistics, and data science into undergraduate ecology curriculum and courses. To do so, this proposal will build a freely accessible website enabling students and others in ecology and allied STEM disciplines to develop the skills in computational and statistical reasoning necessary to address problems related to ecology and data science. This project, Data4Ecology, will develop and deploy a website to curate, assemble and embed open educational and learning resources that will serve as training for a multitude of undergraduate students in ecology and environmental science at various college and universities. In turn, this project will integrate computing, statistics, and data science into an ecology curriculum. The project will build and make accessible collaboration and community resources while providing professional development and disseminating project products. The project will serve the larger scientific community by providing researchers and educators with a dedicated repository of data-centric ecology data, resources, and curriculum. Further, the learning resources from this project will be ported to STATS4STEM, an NSF-funded project that collects educational resources on data, computing, and statistics for use by educators and students at many levels, thus exposing users beyond the project to an expanded pool of ecology-based data-centric learning resources.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.