CyVerse: Cyberinfrastructure for open science

PLoS Comput Biol. 2024 Feb 7;20(2):e1011270. doi: 10.1371/journal.pcbi.1011270. eCollection 2024 Feb.

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.

MeSH terms

  • Artificial Intelligence*
  • Cloud Computing
  • Humans
  • Publishing
  • Software*

Grants and funding

This material is based upon work supported by the US National Science Foundation under Grant numbers: DBI-0735191 (DS was a grant recipient; TE,AE,EL,NM,PS,ES,SS,DS,JW1 received salary), DBI-1265383 (PA,NM,EL,DS,MV were grant recipients; AM,SD,UD,TE,AE,JF,BJ,TL,SL,IM,EL,NM,DM,AR,SR,PS,ES,JS,MMS,SS,DS,JDS,TS,MV,MW,RW,LW,TW,JW8,JW1 received salary), DBI-1743442 (PA,JF,EL,NM,DM,MV,TS were grant recipients; RB,IC,AC,MC,CC,MCM,SD,UD,TE,AE,JF1,JF2,JKG,IH,TL,EL,SL,IM,NM,DM,AR,SR,PS,ES,JS,MMS,SS1,DS,JDS,TS,RT,MV,RW,LW,TW,JW8,JW1 received salary). Work on CyVerse Austria was funded by the Austrian Infrastructure Program 2016/2017, Bundesministerium für Bildung, Wissenschaft und Forschung Austria, BioTechMed/Graz Hochschulraum-Strukturmittel ‘Integriertes Datenmanagement.’ The project was supported by Digitale TU Graz (Graz University of Technology); DC,KL,SS5,MW recieved salary. The funders did not play any role in the study design, data collection and analysis, or decision to publish or preparation of the manuscript.