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

Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

1.4K
The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
1.4K
Ethical Standards II01:23

Ethical Standards II

758
Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy...
758
Ethical Standards I01:25

Ethical Standards I

907
The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
907
Standards of Care II01:19

Standards of Care II

712
Nurses bear specific legal responsibilities under several federal statutes, including:
712
Stereotype Content Model02:16

Stereotype Content Model

14.8K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.8K
Data Collection II01:29

Data Collection II

8.4K
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
8.4K

You might also read

Related Articles

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

Sort by
Same author

HuBMAP Data Portal: A Resource for Multimodal Spatial and Single-Cell Data of Healthy Human Tissues.

ArXiv·2026
Same author

Knowledge Engineering for Open Science: Building and Deploying Knowledge Bases for Metadata Standards.

AI magazine·2026
Same author

The HuBMAP Framework for Advancing Data FAIRness.

bioRxiv : the preprint server for biology·2026
Same author

VO: The Vaccine Ontology.

Scientific data·2026
Same author

Desiderata for a biomedical knowledge network: opportunities, challenges and future directions.

Bioinformatics advances·2026
Same author

A General-Purpose Data Harmonization Framework: Supporting Reproducible and Scalable Data Integration in the RADx Data Hub.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Related Experiment Video

Updated: Aug 22, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K

Modeling community standards for metadata as templates makes data FAIR.

Mark A Musen1, Martin J O'Connor2, Erik Schultes3

  • 1Stanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA, 94305, USA. musen@stanford.edu.

Scientific Data
|November 12, 2022
PubMed
Summary
This summary is machine-generated.

Creating machine-actionable metadata templates helps ensure datasets are findable, accessible, interoperable, and reusable (FAIR). These templates standardize rich, domain-specific information for better data management and sharing.

More Related Videos

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.8K
Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.1K

Related Experiment Videos

Last Updated: Aug 22, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

16.0K
Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
08:27

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

3.8K
Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.1K

Area of Science:

  • Data Science
  • Information Science
  • Digital Curation

Background:

  • Ensuring datasets meet Findable, Accessible, Interoperable, and Reusable (FAIR) principles is challenging due to idiosyncratic metadata criteria.
  • FAIR principles require 'rich' metadata adhering to domain-relevant community standards.

Purpose of the Study:

  • To explore a template-based approach for creating machine-actionable metadata.
  • To support the definition and implementation of discipline-specific metadata standards.

Main Methods:

  • Developed and explored a template-based metadata authoring system (CEDAR Workbench).
  • Utilized a system (FAIRware Workbench) to evaluate dataset metadata adherence to community standards.

Main Results:

  • Demonstrated the utility of metadata templates in defining FAIR data criteria.
  • Showcased how templates can be integrated into software for data stewardship and sharing.

Conclusions:

  • Metadata templates are crucial for establishing a community reference for FAIR data.
  • Template-driven metadata management enhances data stewardship and facilitates data sharing within an ecosystem of tools.