University of Virginia Seminar 11/10/17, "Advancing Hydrology through Collaborative Data and Model Sharing using HydroShare"

Researchers across the country and around the world expend tremendous resources to gather and analyze vast stores of data and populate models to better understand the process they are studying. Each of those researchers has limited money, time, computational capacity, data storage, and ability to put that data to productive use. What if they could combine their efforts to make collaboration easier? What if those collected data sets and processed model outputs could be used collaboratively to help advance knowledge beyond their original purpose? It is these questions that are motivating the movement towards open data, better data management and collaboration and sharing in the use of data and models. In short, researchers are relying more on teamwork to tackle the big problems of the day. This seminar will describe research being done developing a system, called HydroShare, to address these questions in the context of water data and models. HydroShare is advancing hydrologic science by enabling the scientific community to more easily and freely share products resulting from their research, not just the scientific publication summarizing a study, but also the data and models used to create the scientific publication. This capability is necessary for community model development, execution, and evaluation and to improve reproducibility and community trust in scientific findings through transparency. As a platform for collaboration and running models on advanced computational infrastructure, HydroShare enhances the capability for data intensive research in hydrology and other aligned sciences. This seminar will provide information for you on how you could take advantage of HydroShare in your own work.

国内外的研究者们投入了巨大的资源以收集和分析庞大的数据存储，并填充模型以更深入地理解他们所研究的过程。每一位研究者都面临着资金、时间、计算能力、数据存储以及将数据转化为生产力的能力等方面的限制。若他们能够联合起来，使协作变得更加便捷，将收集到的数据集和处理的模型输出协同使用，以超越其原始目的推动知识的进步，将会如何？正是这些疑问激励着向开放数据、更优的数据管理和协作共享数据及模型使用的运动。简而言之，研究者们正越来越多地依靠团队合作来解决当今的宏大问题。本次研讨会将描述一项正在进行中的研究，旨在开发一个名为 HydroShare 的系统，以应对水数据和模型背景下的这些问题。HydroShare 通过使科学界能够更便捷、更自由地分享其研究成果，推动水文科学的发展，这不仅包括科学出版物对研究的总结，还包括创建科学出版物所使用的相关数据和模型。这种能力对于社区模型的发展、执行和评估至关重要，并且通过透明度提升可重复性和科学发现的社会信任。作为协作平台和运行模型在先进计算基础设施上的工具，HydroShare 提升了水文学和其他相关科学领域数据密集型研究的能力。本次研讨会将为您提供如何在自己的工作中利用 HydroShare 的相关信息。