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

Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

576
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
576

You might also read

Related Articles

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

Sort by
Same author

Cefazolin for Methicillin-Susceptible <i>Staphylococcus aureus</i> Bacteremia.

The New England journal of medicine·2026
Same authorSame journal

The Strategic Plan for Tuberculosis Elimination and Equity in Australia 2026-2030.

Communicable diseases intelligence (2018)·2026
Same author

Effectiveness of oral care for the prevention of non-ventilator hospital-acquired pneumonia (HAPPEN): a multicentre, stepped-wedge, cluster-randomised trial in Australia.

The Lancet. Infectious diseases·2026
Same author

External Validation, Recalibration, and Extension of a Prediction Model of Early Acute Kidney Injury in Critically Ill Children Using Multicenter Data.

Critical care explorations·2026
Same author

Discrimination, Stress, and Substance Use Among Ethnoracial Minority Gay, Bisexual, and Other Men Who Have Sex with Men: Findings from the NIH All of Us Research Program.

Substance use & misuse·2026
Same author

Large Language Models Accurately Identify People Who Inject Drugs From Infectious Diseases Discharge Summaries in an Australian Hospital.

Drug and alcohol review·2026
Same journal

Measles epidemiology in Australia: 2014 to 2024. Erratum to 10.33321/cdi.2026.50.016.

Communicable diseases intelligence (2018)·2026
Same journal

Presymptomatic transmission, vaccine breakthrough and anonymous contacts: a cluster of mpox in Canberra, Australian Capital Territory, 2024.

Communicable diseases intelligence (2018)·2026
Same journal

An atlas of common Salmonella serotypes from routinely notified human cases in the Northern Territory of Australia, 2005-2024.

Communicable diseases intelligence (2018)·2026
Same journal

Meningococcal Surveillance Australia: Reporting period 1 October to 31 December 2025.

Communicable diseases intelligence (2018)·2026
Same journal

Australian Gonococcal Surveillance Program, 1 October to 31 December 2025.

Communicable diseases intelligence (2018)·2026
See all related articles

Related Experiment Video

Updated: Jul 11, 2025

Using a Pan-Viral Microarray Assay Virochip to Screen Clinical Samples for Viral Pathogens
13:45

Using a Pan-Viral Microarray Assay Virochip to Screen Clinical Samples for Viral Pathogens

Published on: April 27, 2011

19.0K

The APPRISE Virtual Biobank for Infectious Diseases.

Miranda Z Smith1, Maureen Turner2, Javier Haurat2

  • 1Department of Infectious Diseases, University of Melbourne, at the Peter Doherty Institute for Infection and Immunity, Victoria, 3000, Australia . Miranda.smith@unimelb.edu.au.

Communicable Diseases Intelligence (2018)
|November 15, 2023
PubMed
Summary
This summary is machine-generated.

The Australian Partnership for Preparedness Research on Infectious Disease Emergencies (APPRISE) created a digital platform to help scientists find and access biological samples stored across different locations in Australia. This virtual biobank connects various collections, such as blood and serum samples, through a single searchable website. By using a standardized data format, researchers can quickly locate necessary materials while respecting the original rules of the institutions holding the samples. This system is designed to grow easily as more collections are added, improving how Australia prepares for and responds to disease outbreaks.

Keywords:
Infectious diseasevirtual biobankbiospecimenscollaborationpreparednessCOVID-19biobanking infrastructuredigital health platformsdata harmonizationpublic health preparedness

Frequently Asked Questions

More Related Videos

Single-Cell Multiplexed Fluorescence Imaging to Visualize Viral Nucleic Acids and Proteins and Monitor HIV, HTLV, HBV, HCV, Zika Virus, and Influenza Infection
07:24

Single-Cell Multiplexed Fluorescence Imaging to Visualize Viral Nucleic Acids and Proteins and Monitor HIV, HTLV, HBV, HCV, Zika Virus, and Influenza Infection

Published on: October 29, 2020

2.8K
Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

4.3K

Related Experiment Videos

Last Updated: Jul 11, 2025

Using a Pan-Viral Microarray Assay Virochip to Screen Clinical Samples for Viral Pathogens
13:45

Using a Pan-Viral Microarray Assay Virochip to Screen Clinical Samples for Viral Pathogens

Published on: April 27, 2011

19.0K
Single-Cell Multiplexed Fluorescence Imaging to Visualize Viral Nucleic Acids and Proteins and Monitor HIV, HTLV, HBV, HCV, Zika Virus, and Influenza Infection
07:24

Single-Cell Multiplexed Fluorescence Imaging to Visualize Viral Nucleic Acids and Proteins and Monitor HIV, HTLV, HBV, HCV, Zika Virus, and Influenza Infection

Published on: October 29, 2020

2.8K
Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management
08:01

Biobank for Translational Medicine: Standard Operating Procedures for Optimal Sample Management

Published on: November 30, 2022

4.3K

Area of Science:

  • Infectious disease research within APPRISE biobanking infrastructure
  • Public health informatics and data management

Background:

No prior work had resolved the fragmentation of biological sample repositories across Australian research institutions. Scientists often struggled to locate specific materials needed for urgent infectious disease investigations. This gap motivated the creation of a centralized digital solution. Prior research has shown that distributed collections frequently remain underutilized due to poor discoverability. That uncertainty drove the need for a unified search interface. Existing repositories operated under diverse governance structures, complicating cross-institutional access. This lack of coordination hindered rapid responses to public health emergencies. The current initiative addresses these systemic barriers by linking disparate databases into a single, cohesive network.

Purpose Of The Study:

The aim of this project is to develop a virtual biobank to support infectious disease research throughout Australia. This initiative addresses the challenge of accessing fragmented biospecimen collections held by various organizations. The researchers sought to create a system that improves the visibility of these resources for the scientific community. They aimed to provide a method for searching multiple collections simultaneously through a single portal. The project motivation stems from the need for better preparedness during disease emergencies. By standardizing data access, the team intended to reduce barriers for investigators seeking specific biological materials. They focused on creating a solution that respects existing governance and custodianship rules. This effort seeks to maximize the utility of existing samples without requiring physical relocation.

Main Methods:

The review approach involved constructing a centralized digital gateway for distributed biological sample repositories. Developers implemented a standardized information framework to harmonize metadata from various independent sources. This design allows users to perform concurrent queries across multiple datasets via a protected online interface. The team prioritized maintaining existing institutional oversight for every integrated collection. They utilized web-based technologies to ensure the system remains accessible to authorized investigators. Scalability was a key requirement during the technical architecture phase to accommodate future repository additions. The methodology focuses on enhancing discoverability rather than physical sample consolidation. This approach ensures that the platform functions effectively within current regulatory environments.

Main Results:

The platform successfully integrates access to distributed infectious disease biospecimen collections across Australia. It provides a unified search capability for multiple specimen types, including plasma, serum, and peripheral blood mononuclear cells. The system utilizes a common data model to enable simultaneous searching across these diverse repositories. Users can navigate the portal via a secure web interface to locate materials. The architecture enhances the visibility of existing collections while upholding their current governance arrangements. Custodianship remains with the original institutions, ensuring compliance with local requirements. The portal design supports easy scalability for the future incorporation of additional biological collections. This digital tool effectively bridges the gap between isolated sample databases.

Conclusions:

The authors propose that their digital platform improves the visibility of existing biological resources. They suggest that the common data model facilitates efficient cross-collection searching. This synthesis implies that researchers can now locate diverse specimen types more effectively. The team indicates that the system respects established custodianship and governance protocols. They claim that the portal remains easily scalable for future integration of additional repositories. This work demonstrates that virtual infrastructure can bridge gaps between isolated sample collections. The researchers conclude that their approach supports broader preparedness for infectious disease outbreaks. Their findings suggest that centralized discovery tools enhance the utility of distributed biobanking networks.

The platform utilizes a common data model to enable simultaneous searching across multiple distributed collections. This mechanism allows researchers to query diverse specimen types, such as serum or peripheral blood mononuclear cells, through a single secure web portal.

The system functions as a virtual biobank, which acts as a centralized digital interface for discovering biological materials. Unlike physical repositories, this tool does not store samples itself but instead links existing collections while maintaining their original governance.

A secure web portal is necessary to provide a unified entry point for users. This interface ensures that researchers can access information about distributed samples while adhering to the specific custodianship arrangements required by each participating institution.

The common data model serves as the foundational architecture for standardizing information across disparate databases. This component role is to ensure that metadata from various sources can be queried simultaneously without requiring the physical relocation of the actual samples.

The portal tracks various specimen types, including plasma, serum, and peripheral blood mononuclear cells. This measurement of available material types allows scientists to identify specific biological resources required for their particular infectious disease studies.

The researchers propose that this infrastructure enhances the searchability of existing collections. They claim that the design supports improved preparedness for future disease emergencies by making biological resources more accessible to the scientific community.