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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 · Martyn Clark · Pabitra Dash · Hong Yi · Christina Bandaragoda · Anthony Michael Castronova · Tian Gan · Zhiyu (Drew) Li · Mohamed Morsy · Mauriel Ramirez · Jeff Sadler · Dandong Yin · Yan Liu
Owners: David Tarboton
Resource type:Composite Resource
Created:Jun 23, 2018 at 11:57 p.m.
Last updated: Jul 27, 2018 at 4:24 a.m. by David Tarboton

Abstract

This paper addresses the open collaborative data and model sharing opportunities offered by the HydroShare web based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI). HydroShare users share and publish data and models in a variety of flexible formats, in order to make this information available in a citable, shareable and discoverable format for the advancement of hydrologic science. HydroShare includes a repository for data and models, and tools (web apps) that can act on content in HydroShare and save results back into the repository that represents a flexible web based architecture for collaborative environmental modeling research. This presentation will focus on the key functionalities of HydroShare that support web based collaborative research that is open and enhances reproducibility and trust in research finding through sharing of the data, models and scripts used to generate results. The HydroShare Jupyter Notebook app provides flexible and documentable execution of Python or R code snippets for analysis and modeling. An analysis or modelling procedure documented in a Jupyter Notebook may be saved as part of a HydroSHare resource along with the associated data, and shared with other users or groups. These users may then open the notebook to modify or add to the analysis or modelling procedure, and save results back to the same, or a new resource. Passing information back and forth this way serves to support collaboration on common data in a shared modelling platform. The Jupyter platform is embedded in high performance and data intensive cyberinfrastructure so that code blocks may include preparation and execution of advanced and data intensive models on the host infrastructure. We will discuss how these developments can be used to support collaborative research, where being web based is of value as collaborators can all have access to the same functionality regardless of their computer or location.

Presentation at 9th International Congress on Environmental Modelling and Software "Modelling for Sustainable Food-Energy-Water Systems" June 24-28 2018, Fort Collins, USA, http://iemss2018.engr.colostate.edu/

Subject Keywords

iemss18,Presentation

How to cite

Tarboton, D., R. Idaszak, J. S. Horsburgh, D. Ames, J. Goodall, A. L. Couch, R. Hooper, S. Wang, M. Clark, P. Dash, H. Yi, C. Bandaragoda, A. M. Castronova, T. Gan, Z. (. Li, M. Morsy, M. Ramirez, J. Sadler, D. Yin, Y. Liu (2018). HydroShare: A Platform for Collaborative Data and Model Sharing in Hydrology, HydroShare, http://www.hydroshare.org/resource/e76494ebad394bdfb06343f54682978c

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

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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
Martyn Clark NCAR
Pabitra Dash USU 701-456-8907
Hong Yi RENCI at University of North Carolina at Chapel Hill NC, US
Christina Bandaragoda University of Washington Washington, 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
Dandong Yin University of Illinois
Yan Liu UIUC/CyberGIS
Relations
isPartOf: 9th International Congress on Environmental Modelling and Software "Modelling for Sustainable Food-Energy-Water Systems" June 24-28 2018, Fort Collins, USA, http://iemss2018.engr.colostate.edu/

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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