CUAHSI Tools and Services for Managing Research Data

Scientists are faced with many data-centric challenges in their day-to-day research including, but not limited to, management, collaboration, archival, and publication. This is complicated by the disparate and diverse nature of earth surface data which typically makes a single repository less than ideal for all data used and created for a given study. In recent years, initiatives such as National Science Foundation data management plans and the American Geophysical Union findable, accessible, interoperable, and reusable (FAIR) principals have incentivized researchers to explore solutions for archiving data that will improve future research capabilities. In the area of Hydrologic Data Management, CUAHSI has been developing software tools to help researchers collaborate, share, manage and publish their research data, making it FAIR. This workshop will introduce these tools which include the hydrologic information system (HIS), observations data model version 2 (ODM2), ODM2Admin data management portal, and HydroShare. Attendees will be given an overview of CUAHSI's efforts to support research activities by participating in a series of interactive presentations that progress from (1) simple time series data, to (2) advanced earth observations, and finally to (3) complex data types. We welcome novice and advanced data creators, users, and managers to join us in this workshop.科研人员在日常研究中会面临诸多以数据为核心的挑战，涵盖（但不限于）数据管理、协作、存档与成果发表等环节。而地表数据本身具有异构多样的特性，这使得单一存储库往往难以适配某项研究中使用与产生的全部数据，进一步加剧了上述挑战。近年来，美国国家科学基金会（National Science Foundation）数据管理计划、美国地球物理学会的FAIR（可发现、可访问、可互操作、可复用，Findable, Accessible, Interoperable, Reusable）原则等相关倡议，推动科研人员探索优化数据存档的解决方案，以提升未来的研究能力。在水文数据管理领域，水文科学大学联盟（Consortium of Universities for the Advancement of Hydrologic Science, Inc., CUAHSI）一直致力于开发软件工具，助力科研人员开展协作、共享、管理与发表研究数据，使数据符合FAIR原则。本次工作坊将介绍这些工具，包括水文信息系统（Hydrologic Information System, HIS）、观测数据模型第2版（Observations Data Model 2, ODM2）、ODM2Admin数据管理门户，以及HydroShare平台。参会者将通过一系列递进式的互动演示，全面了解CUAHSI为支撑科研活动所做的各项工作，演示内容从（1）简单时序数据，逐步过渡到（2）高级地表观测数据，最终延伸至（3）复杂数据类型。我们诚挚邀请数据创建者、使用者与管理者，无论其处于入门阶段还是具备资深经验，都能参与本次工作坊。