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


Authors: David Tarboton · Dan Ames · Martyn Clark · Alva Lind Couch · Jeffery S. Horsburgh · Ray Idaszak · Michael J. Stealey · Hong Yi · Shaowen Wang
Owners: David Tarboton
Resource type:Composite Resource
Created:Dec 21, 2017 at 3:54 p.m.
Last updated: Dec 21, 2017 at 4:21 p.m. by David Tarboton

Abstract

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.

Subject Keywords

Proposal,HydroShare,NSF

How to cite

Tarboton, D., D. Ames, M. Clark, A. L. Couch, J. S. Horsburgh, R. Idaszak, M. J. Stealey, H. Yi, S. Wang (2017). HydroShare 2017-2021 Proposal: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis, HydroShare, http://www.hydroshare.org/resource/cb02607d82634cd788d9016ec3720749

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 4357973172
Dan Ames Brigham Young University
Martyn Clark NCAR
Alva Lind Couch Tufts University/CUAHSI MA, USA 617 627 3674
Jeffery S. Horsburgh Utah State University Utah, US (435) 797-2946
Ray Idaszak RENCI, University of North Carolina at Chapel Hill NC, US
Michael J. Stealey RENCI (919) 445-9653
Hong Yi RENCI at University of North Carolina at Chapel Hill NC, US
Shaowen Wang

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 OAC-1664061
National Science Foundation Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis OAC-1664018
National Science Foundation Collaborative Research: SI2-SSI: Cyberinfrastructure for Advancing Hydrologic Knowledge through Collaborative Integration of Data Science, Modeling and Analysis OAC-1664119

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