Hi, I'm an error. x

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


Authors:
Owners:
Resource type: Composite Resource
Storage: The size of this resource is 38.5 MB
Created: Nov 10, 2017 at 3:48 a.m.
Last updated: Nov 10, 2017 at 5:07 a.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 269
Downloads: 19
+1 Votes: Be the first one to  +1 this.  (You need to be logged in to rate this.)
Comments: No comments (yet)

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 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.

Subject Keywords

  • No subject keywords have been added.
  • ${ k }

Duplicate. Keyword not added.

Error: ${ error }
Deleting all keywords will set the resource sharing status to private.

Content

References

How to Cite

Tarboton, D., The HydroShare Team (2017). University of Virginia Seminar 11/10/17, "Advancing Hydrology through Collaborative Data and Model Sharing using HydroShare", HydroShare, http://www.hydroshare.org/resource/63164830979148a0b8642bd308e5dbe4

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

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

Comments

There are currently no comments

New Comment

required