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

Archival Research01:40

Archival Research

16.0K
Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
16.0K
Methods of Documentation I: Source-Oriented Records01:18

Methods of Documentation I: Source-Oriented Records

1.1K
Source-oriented records, or SOR, are medical record-keeping organized by the data source. The SOR system was first developed in the mid-1900s to organize the growing patient data in hospitals and other healthcare facilities.
In an SOR, each discipline involved in patient care maintains a separate medical record section. This record-keeping method enables easy tracking of patient progress and ensures healthcare staff have access to up-to-date information.
Key Attributes include the following:
1.1K
Methods of Documentation V: CBE01:23

Methods of Documentation V: CBE

899
Charting by Exception, or CBE, is a method of documentation used in healthcare, particularly in nursing, that focuses on documenting only significant or abnormal findings rather than recording every detail. This approach aims to streamline the documentation process, improve efficiency, and ensure that healthcare providers can quickly identify deviations from normalcy in patient assessments.
In CBE, healthcare professionals establish predefined standards of practice that define what constitutes...
899
Data Collection by Observations01:08

Data Collection by Observations

12.0K
Data collection refers to a systematic way of obtaining, observing, measuring, and analyzing accurate information. Observational studies are one of the most widely used methods of data collection. It involves collecting data by observing the behavior and physical characteristics of a sample without making any modifications to the sample.
An astronomer viewing the motion and brightness of stars in the sky and recording the data is an example of observational data collection. A botanist recording...
12.0K
Data Validation01:03

Data Validation

5.0K
Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
5.0K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

570
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
570

You might also read

Related Articles

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

Sort by
Same author

Tic-Like Repetitive Ear-Popping Behavior With Objective Eustachian Tube Opening in an Adult With Tourette Syndrome.

Journal of the Korean Academy of Child and Adolescent Psychiatry·2026
Same author

Psychological outcomes of botulinum toxin treatment for facial nerve palsy sequelae: A retrospective analysis of anxiety and depression.

Auris, nasus, larynx·2026
Same author

VEXAS syndrome with cochleovestibular involvement.

Auris, nasus, larynx·2025
Same author

Evaluation of Semicircular Canal Function Using the Video Head Impulse Test in a Case of Relapsing Polychondritis and Otitis Media With Effusion.

Cureus·2025
Same author

Comparison of post-operative vestibular function between vestibular schwannoma and non-vestibular schwannoma cerebellopontine angle tumors patients using video head impulse test.

Journal of vestibular research : equilibrium & orientation·2025
Same author

Post-operative vestibular function outcomes evaluated by video Head Impulse Test in patients with non-vestibular schwannoma cerebellopontine angle tumors.

Auris, nasus, larynx·2025

Related Experiment Video

Updated: Jun 27, 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

15.9K

A study on formalizing the knowledge of data curation activities across different fields.

Yasuyuki Minamiyama1, Hideaki Takeda2, Masaharu Hayashi1

  • 1Research Center for Open Science and Data Platform, National Institute of Informatics, Chiyoda-City, Tokyo, Japan.

Plos One
|April 25, 2024
PubMed
Summary

This study proposes a universal ontology for data curation processes to enable interdisciplinary research data sharing. It addresses the lack of formalized granularity in data curation tasks, promoting data reusability across diverse scientific fields.

More Related Videos

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

437
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

8.2K

Related Experiment Videos

Last Updated: Jun 27, 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

15.9K
Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

437
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

8.2K

Area of Science:

  • Data Science
  • Information Science
  • Scientific Research

Background:

  • Open science trends necessitate research data sharing.
  • Data curation is crucial for data interpretability and reusability.
  • Existing data curation practices are field-specific, hindering interdisciplinary sharing.

Purpose of the Study:

  • To survey, analyze, and organize knowledge of data curation across research fields.
  • To develop a universal ontology for describing data curation processes.
  • To facilitate interdisciplinary data sharing and reuse.

Main Methods:

  • Collected and compared existing data curation vocabularies and procedures.
  • Conducted interviews with data curators from various research fields.
  • Developed a data curation process ontology using OWL.

Main Results:

  • Identified a lack of formalized granularity in data curation tasks and procedures.
  • Proposed a universally applicable ontology for data curation processes.
  • Demonstrated the ontology's validity, consistency, and ability to represent diverse curation activities.

Conclusions:

  • The proposed ontology provides a knowledge framework for interdisciplinary understanding of data curation.
  • This framework supports the identification of functions for data curation support systems.
  • Overcoming granularity gaps is essential for promoting interdisciplinary research data reuse.