TY - JOUR
T1 - HydroShare retrospective
T2 - Science and technology advances of a comprehensive data and model publication environment for the water science domain
AU - Tarboton, David G.
AU - Ames, Daniel P.
AU - Horsburgh, Jeffery S.
AU - Goodall, Jonathan L.
AU - Couch, Alva
AU - Hooper, Richard
AU - Bales, Jerad
AU - Wang, Shaowen
AU - Castronova, Anthony
AU - Seul, Martin
AU - Idaszak, Ray
AU - Li, Zhiyu
AU - Dash, Pabitra
AU - Black, Scott
AU - Ramirez, Maurier
AU - Yi, Hong
AU - Calloway, Chris
AU - Cogswell, Clara
N1 - Publisher Copyright:
© 2023 The Author(s)
PY - 2024/1
Y1 - 2024/1
N2 - Recent decades have witnessed a massive increase in the volume and quality of hydrologic data available to aid water resources decision makers, managers, and scientists. This has been accompanied by exponential growth in both desktop and cloud computing, as well as data storage capabilities. As a result, there are abundant opportunities to drastically change how water data is collected, managed, disseminated, and analyzed – which should ultimately have significant positive impacts on water science, engineering, and management. We are at the cusp of a new era in water data science which brings with it many exciting technological and scientific challenges and opportunities. Many of these challenges are alleviated and opportunities are multiplied when hydrology is viewed as a “team sport” rather than as an individual activity. These factors formed the motivation for the development of the HydroShare open-source software and the hydroshare.org operational system. This retrospective paper reviews a decade of HydroShare development and operation by presenting the general architecture, functionality, key contributions of the project to earth science and cyberinfrastructure research, current usage metrics, and future directions.
AB - Recent decades have witnessed a massive increase in the volume and quality of hydrologic data available to aid water resources decision makers, managers, and scientists. This has been accompanied by exponential growth in both desktop and cloud computing, as well as data storage capabilities. As a result, there are abundant opportunities to drastically change how water data is collected, managed, disseminated, and analyzed – which should ultimately have significant positive impacts on water science, engineering, and management. We are at the cusp of a new era in water data science which brings with it many exciting technological and scientific challenges and opportunities. Many of these challenges are alleviated and opportunities are multiplied when hydrology is viewed as a “team sport” rather than as an individual activity. These factors formed the motivation for the development of the HydroShare open-source software and the hydroshare.org operational system. This retrospective paper reviews a decade of HydroShare development and operation by presenting the general architecture, functionality, key contributions of the project to earth science and cyberinfrastructure research, current usage metrics, and future directions.
KW - Data publication
KW - HydroShare
KW - Hydroinformatics
KW - Hydrologic information systems
KW - Water data science
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U2 - 10.1016/j.envsoft.2023.105902
DO - 10.1016/j.envsoft.2023.105902
M3 - Review article
AN - SCOPUS:85179043613
SN - 1364-8152
VL - 172
JO - Environmental Modelling and Software
JF - Environmental Modelling and Software
M1 - 105902
ER -