CUAHSI Tools and Services for Managing Research Data
|Authors:||Anthony Michael Castronova Liza Brazil Miguel Leon Jeffery S. Horsburgh David Tarboton|
|Resource type:||Composite Resource|
|Storage:||The size of this resource is 110.5 MB|
|Created:||Jul 27, 2018 at 4:31 a.m.|
|Last updated:|| Jan 10, 2019 at 7:57 p.m.
|Citation:||See how to cite this resource|
Scientists are faced with many data-centric challenges in their day-to-day research including, but not limited to, management, collaboration, archival, and publication. This is complicated by the disparate and diverse nature of earth surface data which typically makes a single repository less than ideal for all data used and created for a given study. In recent years, initiatives such as National Science Foundation data management plans and the American Geophysical Union findable, accessible, interoperable, and reusable (FAIR) principals have incentivized researchers to explore solutions for archiving data that will improve future research capabilities. In the area of Hydrologic Data Management, CUAHSI has been developing software tools to help researchers collaborate, share, manage and publish their research data, making it FAIR. This workshop will introduce these tools which include the hydrologic information system (HIS), observations data model version 2 (ODM2), ODM2Admin data management portal, and HydroShare. Attendees will be given an overview of CUAHSI's efforts to support research activities by participating in a series of interactive presentations that progress from (1) simple time series data, to (2) advanced earth observations, and finally to (3) complex data types. We welcome novice and advanced data creators, users, and managers to join us in this workshop.
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|Title||Owners||Sharing Status||My Permission|
|CUAHSI's 2018 Biennial Colloquium||Liz Tran||Public & Shareable||Open Access|
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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