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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Distribution Reliability and Automation

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...
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Health Information Technology and Healthcare Information System

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Related Experiment Video

Updated: May 31, 2026

A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion
13:43

A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion

Published on: January 31, 2022

E-Research Institutional Cloud Architecture (ERICA): An Orchestration Meta-Framework for Establishing Trusted

Timothy R Churches1, Richard Green2, Phi Bang Nguyen2

  • 1Ingham Institute for Applied Medical Research, Syndey, Australia.

International Journal of Population Data Science
|May 29, 2026
PubMed
Summary

The E-Research Institutional Cloud Architecture (ERICA) provides secure, scalable cloud environments for sensitive data research. This code-driven framework automates Amazon Web Services (AWS) resource management, enabling advanced data analysis and privacy protection.

Keywords:
Trusted Research Environmentcloud computingfive safessensitive data

Related Experiment Videos

Last Updated: May 31, 2026

A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion
13:43

A Robust Single-Particle Cryo-Electron Microscopy (cryo-EM) Processing Workflow with cryoSPARC, RELION, and Scipion

Published on: January 31, 2022

Area of Science:

  • Computer Science
  • Data Science
  • Cloud Computing

Background:

  • Traditional on-premise trusted research environments (TREs) face limitations in security, scalability, and flexibility.
  • Sensitive data research requires robust privacy-preserving infrastructure to enable advanced, data-intensive analyses.
  • The E-Research Institutional Cloud Architecture (ERICA) framework was developed to address these challenges.

Purpose of the Study:

  • To introduce ERICA, a code-driven orchestration framework for automating AWS resource configuration and management.
  • To provide secure, scalable, and flexible cloud-based TREs for sensitive data research.
  • To enable advanced, data-intensive research while ensuring data privacy and sovereignty.

Main Methods:

  • Utilizing an infrastructure-as-code model for consistent and reliable setup of Project Spaces.
  • Integrating robust security features, including encryption-at-rest, in transit, and multi-factor authentication.
  • Implementing the Five Safes framework (safe projects, people, data, settings, outputs) for compliance and security.

Main Results:

  • ERICA TREs are operational in universities and government agencies, providing independent and secure research environments.
  • The framework supports diverse operating systems, high-performance computing, and rapid deployment of new AWS services, including generative AI tools.
  • ERICA ensures data sovereignty by hosting in AWS onshore data centers and allows replication across jurisdictions with AWS public cloud infrastructure.

Conclusions:

  • ERICA represents a significant advancement in privacy-by-design cloud infrastructure for sensitive data research.
  • The framework combines strong governance with AWS scalability, enabling secure work with large datasets and adoption of cutting-edge analytical tools.
  • ERICA TREs offer a replicable, future-proof model for supporting secure, data-intensive research at scale.