Education and Data-Intensive Science in the Beginning of the 21st Century

Wolf, Fredric M.; Hobby, Russ; Lowry, Sonya; Bauman, Andrew G.; Franza, B. R.; Lin, Biaoyang; Rapson, Sean; Stewart, Elizabeth; Kolker, Eugene

doi:10.1089/omi.2011.0009

Cited by 7 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By coordinating continuous analyses with development and operations ('DevOps') Fig 2, CyVerse infrastructure enables researchers to focus on their science and not on the design and deployment of bespoke infrastructure, which have higher creation and operating costs and less reusability. CyVerse education, outreach, and training (EOT) focuses on developing researchers' data science skills, the creation of "research objects", and conducting open science [36][37][38] via the services and products CyVerse provides.…”

Section: Scientific Overviewmentioning

confidence: 99%

CyVerse: Cyberinfrastructure for open science

Swetnam,

Antin,

Bartelme

et al. 2024

PLoS Comput Biol

View full text Add to dashboard Cite

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.

show abstract

Section: Scientific Overviewmentioning

confidence: 99%

CyVerse: Cyberinfrastructure for open science

Swetnam,

Antin,

Bartelme

et al. 2024

PLoS Comput Biol

View full text Add to dashboard Cite

show abstract

“…By running open source software, researchers can verify every aspect of their computational workflows on the platform. By coordinating continuous analyses CyVerse education, outreach, and training (EOT) focuses on developing researchers' data science skills, the creation of "research objects", and conducting open science [36][37][38] via the services and products CyVerse provides.…”

Section: Introductionmentioning

confidence: 99%

CyVerse: Cyberinfrastructure for Open Science

Swetnam,

Antin,

Bartelme

et al. 2023

Preprint

View full text Add to dashboard Cite

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 110,000 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 two 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.

show abstract

“…The first NSF-funded Data-Intensive Science Workshop (DISW1, Seattle, WA, September 19-20, 2010) had six working groups (Policy, Communication, Biology, Education, Technology, and Bioinformatics) that identified the challenges and opportunities within the topic and summarized findings in order to build a platform for the second workshop (Barga et al, 2011;Bernstein et al, 2011;Faris et al, 2011;Kolker, 2011a;Ozdemir et al, 2011a;Smith et al, 2011;Wolf et al, 2011).…”

mentioning

confidence: 99%

Opportunities and Challenges for the Life Sciences Community

Kolker

Stewart

Özdemir

2012

OMICS: A Journal of Integrative Biology

Self Cite

View full text Add to dashboard Cite

Twenty-first century life sciences have transformed into data-enabled (also called data-intensive, data-driven, or big data) sciences. They principally depend on data-, computation-, and instrumentation-intensive approaches to seek comprehensive understanding of complex biological processes and systems (e.g., ecosystems, complex diseases, environmental, and health challenges). Federal agencies including the National Science Foundation (NSF) have played and continue to play an exceptional leadership role by innovatively addressing the challenges of dataenabled life sciences. Yet even more is required not only to keep up with the current developments, but also to proactively enable future research needs. Straightforward access to data, computing, and analysis resources will enable true democratization of research competitions; thus investigators will compete based on the merits and broader impact of their ideas and approaches rather than on the scale of their institutional resources. This is the

show abstract

Education and Data-Intensive Science in the Beginning of the 21st Century

Cited by 7 publications

References 0 publications

CyVerse: Cyberinfrastructure for open science

CyVerse: Cyberinfrastructure for open science

CyVerse: Cyberinfrastructure for Open Science

Opportunities and Challenges for the Life Sciences Community

Contact Info

Product

Resources

About