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

Data Reporting and Recording01:24

Data Reporting and Recording

4.8K
Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...
4.8K
What is an Ecosystem?01:17

What is an Ecosystem?

40.2K
Overview
40.2K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

896
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
896
Methods of Documentation IV: Focus Charting01:26

Methods of Documentation IV: Focus Charting

1.1K
Focus Charting, also known as the focus charting system or "focus documentation," is a systematic documentation approach used in healthcare to organize patient information in medical records.
It typically involves three columns for recording information:
1.1K
ER Retrieval Pathway01:45

ER Retrieval Pathway

3.9K
In the secretory pathway, vesicles transport proteins from one cellular compartment to another in forward transport to deliver the protein to its correct location. Occasionally, misfolded proteins and incorrect proteins escape their original compartments, and a retrieval pathway is used to return the escaped proteins to their original compartment.
The ER uses many checkpoints to prevent the entry of incorrectly folded or a resident protein as cargo onto a transport vesicle. These mechanisms...
3.9K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.7K
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.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.7K

You might also read

Related Articles

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

Sort by
Same author

Distinct fibroblast and perivascular senotypes define spatial niches that regulate fibrosis.

bioRxiv : the preprint server for biology·2026
Same author

ChEA-KG and ChEA-KG-TS: a network-based transcription factor enrichment analysis tool with an accompanying time-series workflow.

Nucleic acids research·2026
Same author

A layered standards framework for integrating single-cell and spatial omics data into brain cell atlases.

bioRxiv : the preprint server for biology·2026
Same author

A tool based on objective data to identify patients at elevated risk of hospital-onset <i>Staphylococcus aureus</i> bacteremia: a nested case-control study.

Antimicrobial stewardship & healthcare epidemiology : ASHE·2026
Same author

A Community Standard Multispecies Cell Atlas of the Basal Ganglia.

bioRxiv : the preprint server for biology·2026
Same author

Seven draft genomes for halophilic bacteria from samples in Northern California.

Microbiology resource announcements·2026
Same journal

NanoporeDB: A Structural Resource Of Multimeric Protein Nanopores For Single-Molecule Sensing.

GigaScience·2026
Same journal

From the Brain Cell Atlas to Precision Neurology: A review of the application of AI-driven multi-omics in brain science.

GigaScience·2026
Same journal

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration.

GigaScience·2026
Same journal

ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images.

GigaScience·2026
Same journal

ChatMDV: Reducing Technical Barriers in Bioinformatics Analysis using Large Language Models.

GigaScience·2026
Same journal

ClusterGraph: a new tool for visualisation and compression of multidimensional data.

GigaScience·2026
See all related articles

Related Experiment Video

Updated: Aug 20, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K

Making Common Fund data more findable: catalyzing a data ecosystem.

Amanda L Charbonneau1, Arthur Brady2, Karl Czajkowski3

  • 1Population Health and Reproduction, UC Davis, Davis, CA 95616, USA.

Gigascience
|November 21, 2022
PubMed
Summary
This summary is machine-generated.

The Common Fund Data Ecosystem (CFDE) developed a flexible data federation system. This system allows researchers to discover NIH Common Fund datasets without data migration, using a unified metadata model.

More Related Videos

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
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

9.3K

Related Experiment Videos

Last Updated: Aug 20, 2025

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

6.3K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
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

9.3K

Area of Science:

  • Biomedical Informatics
  • Data Science
  • Health Research

Background:

  • Researchers face challenges accessing diverse biomedical datasets.
  • Existing data silos hinder comprehensive analysis across NIH Common Fund programs.

Purpose of the Study:

  • To describe the Common Fund Data Ecosystem's (CFDE) data federation system.
  • To introduce the Crosscut Metadata Model (C2M2) for unifying biomedical data descriptions.
  • To demonstrate a centralized approach for discovering federated datasets.

Main Methods:

  • Developed a flexible data federation system enabling data discovery without data movement.
  • Created a centralized catalog integrating dataset descriptions from Data Coordination Centers (DCCs).
  • Implemented the Crosscut Metadata Model (C2M2) to standardize diverse metadata.

Main Results:

  • Successfully ingested and indexed data descriptions from 11 DCCs.
  • The CFDE system provides a unified portal for searching disparate biomedical datasets.
  • The C2M2 model accommodates a wide variety of data types and metadata terms.

Conclusions:

  • The CFDE data federation system enhances biomedical data discoverability.
  • The C2M2 metadata model offers a flexible solution for integrating diverse data resources.
  • This approach facilitates research by simplifying access to NIH Common Fund data.