Community Needs for Research Data Management in Aquatic Ecosystems

本次研讨会将汇集跨学科边界和部门的多个社区，重点关注密西西比河上游流域（UMRB）共享的水生入侵物种（AIS）数据挑战。中西部大数据中心（MBDH）团队将与一个由AIS专家组成的委员会以及包括其他三个NSF大数据创新中心在内的国家组织合作。预期的研讨会参与者包括研究人员、外联和教育专家以及政府机构工作人员。AIS对中西部淡水资源、水生生态系统和湿地植物群落的威胁日益严重。在UMRB，由于靠近五大湖，相互连接的河流网络和丰富的用于娱乐的冰川湖，传播和影响的可能性特别高。目前，各种学术机构、政府机构和其他利益相关者正在收集解决水生入侵物种运动和影响问题所需的许多数据。然而，UMRB区域目前缺乏一个全面的可用数据清单、关于可访问性的信息和数据格式标准。此外，AIS管理是一个多方面的问题，需要许多相互关联的过程的数据。需要技术进步和数据管理技能来推进数据互操作性和可复制性，以应对AIS的挑战。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。

This workshop will bring together multiple communities that cross disciplinary boundaries and sectors to focus on shared Aquatic invasive species (AIS) data challenges in the Upper Mississippi River Basin (UMRB). The Midwest Big Data Hub (MBDH) team will work in partnership with a committee of AIS experts and with national organizations including the other three NSF Big Data Innovation Hubs. Intended workshop participants include researchers, outreach and education specialists, and government agency staff. AIS are a growing threat to freshwater resources, aquatic ecosystems, and wetland plant communities in the Midwest. In the UMRB the potential for spread and impacts are especially high due to the proximity to the Great Lakes, the interconnected stream network, and an abundance of glacial lakes used for recreation. Much of the data needed to address the questions around aquatic invasive species movement and impact are currently being collected by various academic institutions, government agencies, and other stakeholders. However, the UMRB Region currently lacks a comprehensive inventory of the data available, information about accessibility, and data format standards. Further, AIS management is a multifaceted issue requiring data on numerous interconnected processes. Advances in technologies as well as data management skills are needed to advance data interoperability and replicability to address the challenge of AIS.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.