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CyVerse: Cyberinfrastructure for open science.

Authors :
Swetnam, Tyson L.
Antin, Parker B.
Bartelme, Ryan
Bucksch, Alexander
Camhy, David
Chism, Greg
Choi, Illyoung
Cooksey, Amanda M.
Cosi, Michele
Cowen, Cindy
Culshaw-Maurer, Michael
Davey, Robert
Davey, Sean
Devisetty, Upendra
Edgin, Tony
Edmonds, Andy
Fedorov, Dmitry
Frady, Jeremy
Fonner, John
Gillan, Jeffrey K.
Source :
PLoS Computational Biology. 2/7/2024, Vol. 20 Issue 2, p1-16. 16p.
Publication Year :
2024

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 open-source software. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
1553734X
Volume :
20
Issue :
2
Database :
Academic Search Index
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
175305744
Full Text :
https://doi.org/10.1371/journal.pcbi.1011270