HydroShare retrospective: Science and technology advances of a comprehensive data and model publication environment for the water science domain

David G. Tarboton, Daniel P. Ames, Jeffery S. Horsburgh, Jonathan L. Goodall, Alva Couch, Richard Hooper, Jerad Bales, Shaowen Wang, Anthony Castronova, Martin Seul, Ray Idaszak, Zhiyu Li, Pabitra Dash, Scott Black, Maurier Ramirez, Hong Yi, Chris Calloway, Clara Cogswell

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish (US)
Article number105902
JournalEnvironmental Modelling and Software
Volume172
DOIs
StatePublished - Jan 2024

Keywords

  • Data publication
  • HydroShare
  • Hydroinformatics
  • Hydrologic information systems
  • Water data science

ASJC Scopus subject areas

  • Software
  • Environmental Engineering
  • Ecological Modeling

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