I-GUIDE VCO: Advancing Transparent and Reproducible Science Using HydroShare (And what’s in it for you!)
Recorded VCO
Advancing Transparent and Reproducible Science Using HydroShare (And what’s in it for you!)
Date: Tuesday, May 9, 2023 Time: 12:00 pm (Central Time)
With so much research and data available in the era of big data, strong pushes have recently been made within the academic research community to ensure that scientific findings are more transparent, reproducible and reusable. To address this need, several changes have emerged, including the
FAIR Guiding Principles for scientific data management and stewardship aimed at making data and research products Findable, Accessible, Interoperable, and Reusable. It is now standard for the agencies that fund scientific research and the publishers who publish results to mandate open sharing of data and other research products.
However, strategies and techniques required to achieve FAIR research products are not always obvious and present challenges for new investigators who are learning data management, large collaborative groups who may be working with large and diverse data, and computational researchers whose workflows present technical challenges for sharing.
In this VCO, we will address existing policies and emerging trends in data sharing requirements along with tools available to you for data sharing, data publication, and integration of computational workflows via the
HydroShare repository and its linked JupyterHub computational environments which were designed with these policies in mind and are now being leveraged by the
I-GUIDE platform.
Presenters
Jeff Horsburgh
Associate Professor
Department of Civil and Environmental Engineering and Utah Water Research Laboratory at Utah State University
Dr. Jeff Horsburgh work includes advancing cyberinfrastructure for smart water metering, design and development of the HydroShare model and data repository, and cyberinfrastructure to support the NSF’s Critical Zone Collaborative Network.
Tony Castronova
Senior Research Scientist
Consortium of Universities for the Advancement of Hydrologic Science, Inc (CUAHSI)
Dr. Tony Castronova leads the Cloud Computing and Hydrologic Modeling program which aims to build shared community infrastructure to support computational research and education in hydrology.
Irene Garousi-Nejad
Research Scientist
Consortium of Universities for the Advancement of Hydrologic Science, Inc (CUAHSI)
Dr. Irene supports CUAHSI’s water science research and education activities and extends CUAHSI’s capabilities in hydrologic modeling, data analysis, cloud computing, and reproducible research.