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Related Concept Videos

Data Reporting and Recording01:24

Data Reporting and Recording

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...
Data Collection by Experiments01:13

Data Collection by Experiments

Data collection is a systematic method of obtaining, observing, measuring, and analyzing accurate information. An experimental study is a standard method of data collection that involves the manipulation of the samples by applying some form of treatment prior to data collection. It refers to manipulating one variable to determine its changes on another variable. The sample subjected to treatment is known as “experimental units.”
An example of the experimental method is a public clinical trial...
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
Data Collection I01:30

Data Collection I

Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
Parallel Processing01:20

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
Data Collection II01:29

Data Collection II

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 family,...

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Related Experiment Video

Updated: Jun 18, 2026

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data
06:36

Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

Published on: October 18, 2024

GitHub and Google Colab for Sharing Data and Code.

David Wesley

    Journal of Insurance Medicine (New York, N.Y.)
    |June 17, 2026
    PubMed
    Summary

    Traditional print journals hinder scientific reproducibility by limiting code and data sharing. Modern platforms like GitHub and Google Colaboratory offer inexpensive solutions for disseminating computational research, enhancing validation.

    Keywords:
    GitHubGoogle ColaboratoryKagglePythonactual to expected mortality studieslaboratory test resultsrepository

    Related Experiment Videos

    Last Updated: Jun 18, 2026

    Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data
    06:36

    Three-Dimensional Mapping of the Rotation of Interactive Virtual Objects with Eye-Tracking Data

    Published on: October 18, 2024

    Area of Science:

    • Computational Science
    • Data Science
    • Scientific Publishing

    Background:

    • Traditional print journals present limitations for sharing essential computational code and data.
    • Lack of accessible code and data impedes the assessment of research reproducibility and validation.

    Purpose of the Study:

    • To introduce modern, cost-effective platforms for sharing scientific code and data.
    • To demonstrate the utility of GitHub and Google Colaboratory for enhancing research transparency.

    Main Methods:

    • Introduction to GitHub as a version control and collaboration platform.
    • Explanation of Google Colaboratory for interactive coding and data analysis.
    • Provision of three distinct examples for practical user engagement.

    Main Results:

    • GitHub and Google Colaboratory facilitate the dissemination of code and data.
    • These platforms enable better assessment of research reproducibility.
    • Explanatory text can be integrated for improved understanding.

    Conclusions:

    • Modern platforms like GitHub and Google Colaboratory are superior to traditional print journals for sharing computational research.
    • Adoption of these tools can significantly improve scientific transparency and validation.
    • Researchers are encouraged to utilize these resources for reproducible science.