CyVerse: Cyberinfrastructure for open science

Tyson L. Swetnam, Parker B. Antin, Ryan Bartelme, Alexander Bucksch, David Camhy, Greg Chism, Illyoung Choi, Amanda M. Cooksey, Michele Cosi, Cindy Cowen, Michael Culshaw-Maurer, Robert Davey, Sean Davey, Upendra Devisetty, Tony Edgin, Andy Edmonds, Dmitry Fedorov, Jeremy Frady, John Fonner, Jeffrey K. GillanIqbal Hossain, Blake Joyce, Konrad Lang, Tina Lee, Shelley Littin, Ian McEwen, Nirav Merchant, David Micklos, Andrew Nelson, Ashley Ramsey, Sarah Roberts, Paul Sarando, Edwin Skidmore, Jawon Song, Mary Margaret Sprinkle, Sriram Srinivasan, Dan Stanzione, Jonathan D. Strootman, Sarah Stryeck, Reetu Tuteja, Matthew Vaughn, Mojib Wali, Mariah Wall, Ramona Walls, Liya Wang, Todd Wickizer, Jason Williams, John Wregglesworth, Eric Lyons

Research output: Contribution to journalArticlepeer-review

Abstract

CyVerse, the largest publicly-funded open-source research cyberinfrastructure for life sciences, has played a crucial role in advancing data-driven research since the 2010s. As the technology landscape evolved with the emergence of cloud computing platforms, machine learning and artificial intelligence (AI) applications, CyVerse has enabled access by providing interfaces, Software as a Service (SaaS), and cloud-native Infrastructure as Code (IaC) to leverage new technologies. CyVerse services enable researchers to integrate institutional and private computational resources, custom software, perform analyses, and publish data in accordance with open science principles. Over the past 13 years, CyVerse has registered more than 124,000 verified accounts from 160 countries and was used for over 1,600 peer-reviewed publications. Since 2011, 45,000 students and researchers have been trained to use CyVerse. The platform has been replicated and deployed in three countries outside the US, with additional private deployments on commercial clouds for US government agencies and multinational corporations. In this manuscript, we present a strategic blueprint for creating and managing SaaS cyberinfrastructure and IaC as free and opensource software.

Original languageEnglish (US)
Article numbere1011270
JournalPLoS computational biology
Volume20
Issue number2 February
DOIs
StatePublished - Feb 2024

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Modeling and Simulation
  • Ecology
  • Molecular Biology
  • Genetics
  • Cellular and Molecular Neuroscience
  • Computational Theory and Mathematics

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