Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Introduction to R01:11

Introduction to R

4.3K
R is a powerful software environment for statistical computing and graphics. Originating as an implementation of the S language, developed at Bell Laboratories, R has evolved into a robust, open-source statistical software favored by statisticians and data scientists worldwide. Its comprehensive suite includes data manipulation, calculation, and graphical display capabilities, making it versatile for data analysis and visualization. Its programming language is at the core of R's...
4.3K
Production Efficiency01:01

Production Efficiency

18.2K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
18.2K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

3.3K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.3K
Protein Folding Quality Check in the RER01:29

Protein Folding Quality Check in the RER

5.0K
ER is the primary site for the maturation and folding of soluble and transmembrane secretory proteins. The calnexin cycle is a specific chaperone system that folds and assesses the confirmation of N-glycosylated proteins before they can exit the ER lumen. The primary players of this quality check pipeline are the lectins, ER-resident chaperones, and a glucosyl transferase enzyme. In case the calnexin system in the lumen fails to salvage a misfolded protein, it is transported to the cytoplasm...
5.0K
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

498
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
498
Econometric Views (EViews)01:29

Econometric Views (EViews)

562
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
562

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correction: Application of the cyberinfrastructure production function model to R1 institutions.

Frontiers in research metrics and analytics·2026
Same author

The Chilling of Data Sharing and Reuse: Lives at Greater Risk in the Current Era.

Clinical therapeutics·2025
Same author

Economic value of HPC experience for new STEM professionals: Insights from STEM hiring managers.

Frontiers in research metrics and analytics·2025
Same author

Author Correction: brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.

Nature methods·2024
Same author

brainlife.io: a decentralized and open-source cloud platform to support neuroscience research.

Nature methods·2024
Same author

<i>brainlife.io</i>: A decentralized and open source cloud platform to support neuroscience research.

ArXiv·2023
Same journal

Navigating artificial intelligence in qualitative research: ethical and practical considerations from concept to publication.

Frontiers in research metrics and analytics·2026
Same journal

Measuring scientific coherence between global neglected tropical disease research and population health indicators: a 25-year meta-research study.

Frontiers in research metrics and analytics·2026
Same journal

ChatGPT and higher education in Latin America: measuring perceived academic skills.

Frontiers in research metrics and analytics·2026
Same journal

Guidelines for setting cut-off scores in AUC (AUC-GUIDE): balancing sensitivity, specificity, and purpose.

Frontiers in research metrics and analytics·2026
Same journal

University presses, academic books, and authors in Ibero-America: a systematic review.

Frontiers in research metrics and analytics·2026
Same journal

Responsible research evaluation: integrating quality, leadership, and integrity in national systems. The case of Peru.

Frontiers in research metrics and analytics·2026
See all related articles

Related Experiment Video

Updated: Jan 18, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.6K

Application of the cyberinfrastructure production function model to R1 institutions.

Preston M Smith1, Jill Gemmill2, David Y Hancock3

  • 1Rosen Center for Advanced Computing, Purdue University, West Lafayette, IN, United States.

Frontiers in Research Metrics and Analytics
|September 8, 2025
PubMed
Summary
This summary is machine-generated.

Investment in high-performance computing (HPC) infrastructure yields positive institutional returns in higher education. The production function model effectively quantifies the value of research computing, though specific outcomes vary by institution.

Keywords:
HPCRCDROIcyberinfrastructureeconomicsresearch computing and datavalue proposition

More Related Videos

A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

344
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

Related Experiment Videos

Last Updated: Jan 18, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
10:41

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

9.6K
A User-friendly and Powerful R Analysis of Large-scale Datasets
10:56

A User-friendly and Powerful R Analysis of Large-scale Datasets

Published on: November 4, 2025

344
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K

Area of Science:

  • Economics
  • Computer Science
  • Higher Education Administration

Background:

  • High-performance computing (HPC) is integral to higher education for modeling, simulation, and AI.
  • Supercomputers represent significant capital and operating costs, necessitating careful investment evaluation.

Purpose of the Study:

  • To assess the generalizability of a production function model for quantifying research computing investment value across universities.
  • To develop a model for capacity planning of HPC investments by inverting the production function.

Main Methods:

  • Application of economic production function concepts.
  • Evaluation of model generalizability across diverse university settings.
  • Inversion of the production function for HPC capacity planning.

Main Results:

  • The production function model demonstrates generalizability and indicates positive institutional returns on HPC investment.
  • Investment in computing resources and staff positively impacts institutional outcomes.
  • Relative input-output relationships within the model vary across institutions due to specific factors.

Conclusions:

  • The production function model is a viable tool for evaluating HPC investments in higher education.
  • Positive returns justify investment in research computing infrastructure and personnel.
  • Institution-specific factors necessitate tailored approaches to HPC capacity planning.