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

临界带（CZ）科学家负责整合来自众多学科的理论、模型和数据，这些学科研究地球表面的过程——从植被冠层的大气到活跃循环的地下水的下边界。因此，关键区域的科学家和他们的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、地理空间建模师和分子生物学家产生的“大数据”相结合。NSF EarthCube计划最近为领域研讨会征求了建议，“旨在倾听组成地球科学的最终用户群体的需求，并更好地理解数据科学如何帮助他们实现科学目标。”支持者将召集一个研讨会，将关键区域领域的科学家与活跃在EarthCube中的计算机科学家聚集在一起。因此，该研讨会将服务于两个目标：(1)让大约45名精通网络的关键区域科学家参与EarthCube进程；(2)向EarthCube的大约20名网络科学家通报CZ科学的多样性需求。研讨会的总体目标是为“长尾”数据和“大数据”的整合制定一套统一的需求，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。有很多例子表明，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式预报在电视和其他媒体上突出显示。渔民、划木筏者和划独木舟者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”平台利用地理信息系统和水文模型在课堂和非正式环境中用于教育目的，也由公民科学家使用。

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.