HydroShare 2017-2021 Proposal: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis

This resource holds the narrative text of the proposal funded by NSF to support development of HydroShare from 2017-2021. A second document lists the scope of work adjustments due to NSF not being able to provide the full funding requested.

This work is being pursued through three collaborative NSF Awards
https://nsf.gov/awardsearch/showAward?AWD_ID=1664061
https://nsf.gov/awardsearch/showAward?AWD_ID=1664018
https://nsf.gov/awardsearch/showAward?AWD_ID=1664119

Summary
Researchers across the country and around the world expend tremendous resources to gather and analyze vast stores of hydrologic data and populate a myriad of models to better understand hydrologic phenomena and find solutions to vexing water problems. 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 hydrologic understanding beyond their original purpose? HydroShare is a system to advance 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. HydroShare supports the sharing and publication of hydrologic data and models. 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. HydroShare is designed to help researchers easily meet the sharing requirements of data management plans while at the same time providing value added functionality that makes metadata capture more effective and helps researchers improve their work productivity. This project will extend the capabilities of the HydroShare cyberinfrastructure to: (1) enhance support for scientific methods enabling systematic data and model analysis and hypothesis testing; (2) advance the social capabilities of HydroShare to enable improved collaborative research; (3) integrate with 3rd party consumer data storage systems to provide more flexible and sustainable data storage; and (4) establish an application testing environment to empower researchers to develop their own computer programs to act on and work with data in HydroShare.

本资源收录了由美国国家科学基金会（NSF）资助，自2017年至2021年支持HydroShare发展的提案叙事文本。另一份文件列出了因NSF无法提供所申请的全部资金而进行的作业范围调整。

该研究工作通过三项合作的国家科学基金会奖项进行推进
https://nsf.gov/awardsearch/showAward?AWD_ID=1664061
https://nsf.gov/awardsearch/showAward?AWD_ID=1664018
https://nsf.gov/awardsearch/showAward?AWD_ID=1664119

摘要
国内外的研究者们投入了巨大的资源来收集和分析大量的水文数据，并构建了众多模型，以增进对水文现象的理解并寻求解决棘手的水资源问题的方法。每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。若他们能够联合力量，使合作变得更加便捷，那将如何？若这些收集到的数据集和经过处理的模型输出能够被合作利用，以超越其原始目的来推动水文理解的进步，那又会怎样？HydroShare是一个系统，通过使科学界能够更便捷、更自由地分享研究成果，从而推进水文科学的发展，这不仅包括总结研究的科学出版物，还包括创建科学出版物的数据和模型。HydroShare支持水文数据和模型的共享与发布。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，可以改善对科学发现的复现性和社区信任。作为一个协作平台和运行模型的先进计算基础设施，HydroShare增强了水文和其他相关科学领域中数据密集型研究的能力。HydroShare旨在帮助研究者轻松满足数据管理计划的共享要求，同时提供增值功能，使元数据捕获更加有效，并帮助研究者提高工作效率。本项目将扩展HydroShare网络基础设施的能力，包括：（1）增强对科学方法的支撑，以实现系统的数据和分析以及假设检验；（2）提升HydroShare的社会功能，以促进改进的协作研究；（3）与第三方消费者数据存储系统集成，以提供更灵活和可持续的数据存储；（4）建立应用测试环境，使研究者能够开发自己的计算机程序，以对HydroShare中的数据进行操作和协作。