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HydroShare: An overview of new functionality developed in support of collaborative reproducible research
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|Storage:||The size of this resource is 18.3 MB|
|Created:||Jul 28, 2019 at 10:43 a.m.|
|Last updated:|| Jul 29, 2019 at 1:27 p.m.
|Citation:||See how to cite this resource|
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HydroShare is a domain specific data and model repository operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI) to advance hydrologic science by enabling researchers to more easily share data, model and workflow products resulting from their research and used to create and support reproducibility of the results reported in scientific publications. HydroShare is comprised of two sets of functionality: (1) a repository for users to share and publish data and models, collectively referred to as resources, in a variety of formats, and (2) web application tools that can act on content in HydroShare for computational and visual analysis. Together these serve as a platform for collaboration and computation that integrates data storage, organization, discovery, and analysis and that allows researchers to employ services beyond their desktops to make data storage and manipulation more reliable and scalable, while improving their ability to collaborate and reproduce results. This presentation will describe ongoing enhancements to HydroShare, some of the challenges being faced in its design and ongoing development. Content storage is being consolidated into a single primary resource type that may hold multiple content aggregation types. This better supports storage of the diverse data involved with hydrologic data and model studies in a single shareable unit. Reproducible and easy to use computational functionality is being advanced using JupyterHub as a gateway to XSEDE and other high performance compute resources. This presentation will describe the progress made and challenges being addressed for managing the storage and use of HydroShare resources from JupyterHub, and using containers to enabling simple and scalable access to these resources.
Presentation given to 2019 CUAHSI Hydroinformatics Conference, Brigham Young University, Provo, Utah, July 29-31. Tarboton, D. G., R. Idaszak, J. S. Horsburgh, D. Ames, J. L. Goodall, A. Couch, P. Dash, H. Yi, C. Bandaragoda, A. Castronova, M. Clark, R. Hooper, S. Wang, M. Ramirez, J. Sadler, M. Morsy, S. Black, D. Yin, T. Malik and L. Brazil, (2019), "HydroShare: An overview of new functionality developed in support of collaborative reproducible research," 2019 CUAHSI Hydroinformatics Conference, Brigham Young University, Provo, Utah, July 29-31, https://www.cuahsi.org/community/cuahsi-science-meetings/. Tarboton_Hydroinformatics_7_29_19_Lightning.pptx is for 5 min lightning presentation on 7/29/19 Tarboton_Hydroinformatics_7_30_19.pptx is for 15 min extended presentation on 7/30/19
|This resource is referenced by||2019 CUAHSI Hydroinformatics Conference, Brigham Young University, Provo, Utah, July 29-31, https://www.cuahsi.org/community/cuahsi-science-meetings/|
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|
People or Organizations that contributed technically, materially, financially, or provided general support for the creation of the resource's content but are not considered authors.
|The HydroShare Team|
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/