The HydroShare community platform supporting water resources research
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Owners: | David Tarboton |
Type: | Resource |
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Created: | Mar 02, 2020 at 1:21 p.m. |
Last updated: | Mar 05, 2020 at 12:57 a.m. |
Citation: | See how to cite this resource |
Sharing Status: | Public |
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Abstract
Presentation for Science Gateway Computational Institute Federal Agency Workshop, Washington DC, March 4, 2020
HydroShare is a web based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) to advance hydrologic science by enabling individual researchers 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 accepts data from anybody, and supports Findable, Accessible, Interoperable and Reusable (FAIR) principles. It is comprised of two sets of functionalities: (1) a repository for users to share and publish data and models in a variety of formats, and (2) tools (web apps) that can act on content in HydroShare and support web-based access to compute capability. Together these move us towards a platform for collaboration and computation that integrates data storage, organization, discovery, and analysis through web applications (web apps) and that allows researchers to employ services beyond the desktop to make data storage and manipulation more reliable and scalable, while improving their ability to collaborate and reproduce results. This presentation describes HydroShare and how it fits into the broader cyberinfrastructure software ecosystem where interoperability is important as a gateway for computation, and some of the challenges faced, from both an organizational and technical perspective.
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Funding Agencies
This resource was created using funding from the following sources:
Agency Name | Award Title | Award Number |
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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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This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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