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NSF OAC Webinar: Advancing the capability for collaborative discovery through data and model sharing: The HydroShare example.
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|Created:||Dec 21, 2018 at 2:48 p.m.|
|Last updated:|| Dec 21, 2018 at 2:51 p.m.
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This presentation will describe the development of the HydroShare (www.hydroshare.org) web-based hydrologic information system operated by the Consortium of Universities for the Advancement of Hydrologic Science Inc. (CUAHSI, www.cuahsi.org). HydroShare has been developed as a domain specific repository for the hydrologic science research community to share and publish data and models such that they are Findable, Accessible, Interoperable and Reusable (FAIR principles). As software, HydroShare was developed using an open development model with contributions from developers ranging from hydrology graduate students to seasoned developers. As infrastructure, HydroShare has been developed with interoperability in mind to serve as a component in an ecosystem of interacting cyberinfrastructure elements. HydroShare is a system for advancing 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, models, and workflow scripts used to create the scientific publication. It accepts data from anybody, and supports FAIR principles that help enable researchers meet the requirements of open data management plans. HydroShare is comprised of two sets of functionality: (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 serve as a platform for collaboration and computation that integrates data storage, organization, discovery, and analysis through web applications (web apps). HydroShare 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.
NSF OAC Webinar August16, 2018 https://www.nsf.gov/events/event_summ.jsp?cntn_id=296301&org=NSF
Recording on Youtube https://youtu.be/EAVLqIIpDRg
|The content of this resource references||Youtube recording https://youtu.be/EAVLqIIpDRg|
|The content of this resource references||https://www.nsf.gov/events/event_summ.jsp?cntn_id=296301&org=NSF|
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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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/