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HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology


Authors: David Tarboton · Ray Idaszak · Jeffery S. Horsburgh · Dan Ames · Jonathan Goodall · Alva Lind Couch · Richard Hooper · Shaowen Wang · Pabitra Dash · Martyn Clark · Christina Bandaragoda · Hong Yi · Anthony Michael Castronova · Tian Gan · Zhiyu (Drew) Li · Mohamed Morsy · Mauriel Ramirez · Jeff Sadler · Yan Liu · Dandong Yin
Owners: David Tarboton
Resource type:Composite Resource
Created:Apr 21, 2018 at 9:33 a.m.
Last updated: Apr 26, 2018 at 8:39 p.m. by David Tarboton

Abstract

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 presentation will describe the HydroShare web based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) that is available for use as a service to the hydrology community. HydroShare includes a repository for users to share and publish data and models in a variety of formats, and to make this information available in a citable, shareable, and discoverable manner. HydroShare also includes tools (web apps) that can act on content in HydroShare, providing users with a gateway to high performance computing and computing in the cloud. HydroShare has components that support: (1) resource storage, (2) resource exploration, and (3) web apps for actions on resources. The HydroShare data discovery, sharing and publishing functions as well as HydroShare web apps provide the capability to analyze data and execute models completely in the cloud, overcoming desktop platform limitations. We will discuss how these developments can be used to support collaborative research and modeling in Hydrology, where being web based is of value as collaborators can all have access to the same functionality regardless of their computer. We will illustrate the use of HydroShare for collecting and making accessible to the community data from the US National Water Model and 2017 Atlantic Hurricanes Harvey, Irma and Maria that had significant impacts on parts of the US and islands in the Caribbean. HydroShare is being used to assemble, document and archive hydrologic data from these events to support research to improve our understanding of and capability to prepare for and respond to such extreme events in the future.

Presentation at 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

Subject Keywords

Presentation,AWRA2018

How to cite

Tarboton, D., R. Idaszak, J. S. Horsburgh, D. Ames, J. Goodall, A. L. Couch, R. Hooper, S. Wang, P. Dash, M. Clark, C. Bandaragoda, H. Yi, A. M. Castronova, T. Gan, Z. (. Li, M. Morsy, M. Ramirez, J. Sadler, Y. Liu, D. Yin (2018). HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology, HydroShare, http://www.hydroshare.org/resource/1785fd9bb6714b29846c7dac4911f3b8

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Sharing status:

  • Public Resource  Public
  • Sharable Resource  Shareable

Content

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Authors

The people or organizations that created the intellectual content of the resource.

Name Organization Address Phone Author Identifiers
David Tarboton Utah State University Utah, US 4357973172
Ray Idaszak RENCI, University of North Carolina at Chapel Hill NC, US
Jeffery S. Horsburgh Utah State University Utah, US (435) 797-2946
Dan Ames Brigham Young University
Jonathan Goodall University of Virginia Virginia, US
Alva Lind Couch Tufts University/CUAHSI MA, USA 617 627 3674
Richard Hooper Tufts University Massachusetts, US 3392215400
Shaowen Wang University of Illinois
Pabitra Dash USU 701-456-8907
Martyn Clark NCAR
Christina Bandaragoda University of Washington Washington, US
Hong Yi RENCI at University of North Carolina at Chapel Hill NC, US
Anthony Michael Castronova CUAHSI MA, US 3399334127
Tian Gan Utah State University
Zhiyu (Drew) Li Brigham Young University
Mohamed Morsy University of Virginia (434) 924-7630
Mauriel Ramirez Utah State University (435) 363-5910
Jeff Sadler University of Virginia
Yan Liu UIUC/CyberGIS
Dandong Yin University of Illinois
Relations
isPartOf: 2018 AWRA Spring Specialty Conference: Geographic Information Systems (GIS) and Water Resources X, Orlando, Florida, April 23-25, http://awra.org/meetings/Orlando2018/.

Credits

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis ACI 1664061, 1664018, 1664119

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