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

EarthCube 域最终用户研讨会：让关键区域社区参与到长尾科学与大数据之间的桥梁

• 批准号: 1252238
• 负责人: Anthony Aufdenkampe
• 金额: $ 9.99万
• 依托单位: Stroud Water Research Center
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-10-01 至 2013-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1252238&HistoricalAwards=false
• 关键词: EarthCube; Domain; End; User; Workshop

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.

临界区（CZ）科学家认为他们的努力是将研究地球表面上研究过程的理论，模型和数据整合起来 - 从植被冠层的大气到主动骑自行车地下水的下边界。 因此，关键区科学家及其数据经理正处于有效编译和使用地球科学长尾“黑暗数据”的努力方面，并将数据与水文学家，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倡议最近征求了针对领域研讨会的建议，“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数据的科学如何帮助他们实现其科学目标”。 支持者将召集一个研讨会，将关键区域科学家与活跃于Earthcube的计算机科学家结合在一起。因此，该研讨会将实现两个目标：（1）在Earthcube过程中与大约45个网络识别临界区科学家参与； （2）将大约20位EarthCube的网络科学家告知CZ科学的多样性需求。 研讨会的总体目标是为集成“长尾巴”数据和“大数据”的整合，并开发一个域名和网络科学家的互动社区以寻求解决方案的互动社区。 有许多例子说明网络基础设施如何为地球科学家开发，对公众产生更大的影响。 国家气象服务数据和模型预测在电视和其他媒体上得到了强调。 渔民，after徒和划独木舟依靠USGS来衡量数据进行娱乐活动。 我的流域平台的模型是在教室和非正式环境以及公民科学家中利用GIS和水文建模来进行教育目的。