CUAHSI Conference on Hydrologic Data and Information Systems - Logan, Utah

Wednesday, June 22, 2011 - Friday, June 24, 2011

You are invited to the CUAHSI Conference on Hydrologic Data and Information Systems, June 22-24, 2011 at Utah State University, Logan, Utah.   This conference will showcase the scientific progress enabled in hydrology through the use of advanced information and data management systems. The conference will also showcase the CUAHSI Hydrologic Information System (HIS), a web based system for sharing hydrologic data. 


We welcome presentations of your work on or related to data management in hydrology and your participation in workshops and CUAHSI HIS training. Conference themes include:

- Data publication

- Science Enabled by Data and Information Systems

- Accessing Data from Services-Oriented Architectures

- NSF Data Management Plans and Scientific Data Management

- Data and Information Systems in Hydrologic Education

- Ontologies and Controlled Vocabularies in Hydrologic Information Systems

- Data and Information Systems in Hydrologic Modeling

Presentations on general aspects of Hydrologic Information Systems are also welcome. Oral and poster presentations will be accepted. 


The conference will include training workshops on CUAHSI HIS components as well as one-on-one Dr's Office sessions with HIS team members for help on any aspect of the CUAHSI HIS. The following training workshops are planned:

- Data Search and Discovery with HydroDesktop

- Building and Running Model Workflows with HydroModeler

- Publishing Data using HydroServer

- Developing Custom Tools for HydroDesktop

- Developing Custom Model Components for HydroModeler


Abstracts are due May 16th, 2011 and registration closes May 30, 2011. 


Limited travel support is available from CUAHSI. To request support please register for the conference from the Read More Link below and click on the Yes button for travel support on the website.

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This material is based in part upon work supported by: The National Science Foundation under grant number(s) IIA-1329469, IIA-1329470 and IIA-1329513. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.