EarthCube Domain End-User Workshop: Engaging the Critical Zone community to bridge long tail science with big data

关键区（CZ）的科学家负责整合来自地球表面研究过程的众多学科的理论，模型和数据-从植被冠层的大气到活跃循环的地面沃茨的下边界。 因此，临界区科学家及其数据管理人员站在第一线，努力有效地汇编和使用地球科学的“长尾暗数据”，并将这些数据与水文学家、大气科学家、地理空间建模者和分子生物学家产生的“大数据”相结合。 NSF EarthCube倡议最近征求了关于领域研讨会的建议，旨在倾听构成地球科学的最终用户群体的需求，并更好地了解数据支持的科学如何帮助他们实现科学目标。“支持者将召开一个研讨会，将关键区领域的科学家与活跃在地球立方体的计算机科学家聚集在一起。因此，该讲习班有两个目标：（1）让大约45名掌握网络知识的关键地带科学家参与地球立方体进程;（2）让大约20名地球立方体的网络科学家了解关键地带科学的多样性需求。 讲习班的总体目标是为“长尾”数据和“大数据”的整合制定一套统一的要求，并建立一个由领域和网络科学家组成的互动社区，以寻求解决方案。 有许多例子可以说明为地球科学家开发的网络基础设施如何对公众产生更广泛的影响。 国家气象局的数据和模型预报在电视和其他媒体上得到突出报道。 渔民、筏工和划独木舟的人依靠美国地质勘探局的测量数据进行娱乐活动。 "我的流域模型“平台正在利用GIS和水文建模，在教室和非正式环境中以及由公民科学家进行教育。

Critical Zone (CZ) scientists take as their charge the effort to integrate theory, models and data from the multitude of disciplines studying processes on the Earth's surface - from the atmosphere at the vegetation's canopy to the lower boundary of actively cycling ground waters. As such, critical zone scientists and their data managers are at the front line of efforts to effectively compile and use the "dark data in the Long Tail" of earth science and integrate that data with the "Big Data" produced by hydrologists, atmospheric scientists, geospatial modelers and molecular biologists. The NSF EarthCube initiative recently solicited proposals for domain workshops "designed to listen to the needs of the end-user groups that make up the geosciences and to understand better how data-enabled science can help them achieve their scientific goals." The proponents will convene a workshop to bring together critical zone domain scientists with computer scientists active in EarthCube. This workshop would thus serve two objectives: (1) engage approximately 45 cyber-literate critical zone scientists in the EarthCube process; and (2) inform about 20 of EarthCube's cyberscientists of the diversity needs of CZ science. The overall goal of the workshop would be to develop a set of unifying requirements for the integration of "long tail" data and "big data" and to develop an interactive community of domain and cyber scientists to pursue solutions. There are many examples of how cyber-infrastructure developed for geoscientists have broader impacts to the public. The national weather service data and model forecasts are highlighted on television and other media outlets. Fishermen, rafters and canoeists rely on USGS gauging data for their recreational activities. The Model My Watershed platform is harnessing GIS and hydrological modeling for educational purposes in classrooms and informal settings and also by citizen scientists.