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Related Concept Videos

Data Collection III01:05

Data Collection III

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The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the...
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Data Collection I01:30

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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...
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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.”
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Data Collection by Survey01:07

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The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Data Collection by Observations01:08

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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.
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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...
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Databiting: Lightweight, Transient, and Insight Rich Exploration of Personal Data.

Bradley Rey, Bongshin Lee, Eun Kyoung Choe

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    This summary is machine-generated.

    Databiting allows richer personal data insights through lightweight, on-the-go exploration. This approach overcomes limitations of current mobile data visualization methods for anytime, anywhere access.

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    Area of Science:

    • Human-Computer Interaction
    • Data Visualization
    • Personal Informatics

    Background:

    • Mobile and wearable devices offer constant access to personal data.
    • Current on-the-go data exploration is limited to glanceable visualizations, restricting insight.
    • Need for methods enabling deeper data understanding in mobile contexts.

    Purpose of the Study:

    • Introduce and conceptualize 'databiting' as a novel approach to personal data exploration.
    • Argue for the potential value of databiting in gaining richer insights.
    • Identify key research considerations for enabling databiting.

    Main Methods:

    • Conceptual framework development for databiting.
    • Discussion of five critical research considerations: context, interaction, relation to other explorations, personalization, and evaluation.
    • Qualitative analysis of potential benefits and challenges.

    Main Results:

    • Databiting is defined as lightweight, transient interaction for richer personal data insight.
    • Five research considerations are proposed to facilitate databiting.
    • Potential for enhanced personal data understanding anytime and anywhere.

    Conclusions:

    • Databiting offers a promising avenue for more meaningful personal data exploration on mobile devices.
    • Addressing the identified research considerations is crucial for realizing databiting's potential.
    • Future work should focus on developing and evaluating databiting techniques.