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Related Concept Videos

Data Collection II01:29

Data Collection II

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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...
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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 III01:05

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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 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.
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...
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Ligand Binding and Linkage00:49

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Related Experiment Video

Updated: May 9, 2025

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Discovering linked data collections through a new national metadata platform.

Kate M Miller1, Felicity S Flack1, Merran B Smith1

  • 1Population Health Research Network, University of Western Australia, Crawley, Western Australia, Australia.

International Journal of Population Data Science
|May 1, 2025
PubMed
Summary

A new metadata platform standardizes data collection information for Australian health researchers. This improves access and evaluation, saving time and enhancing linked data research projects.

Keywords:
administrative datadata collectionsdata linkagehealthmetadatarecord linkage

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Area of Science:

  • Health research infrastructure
  • Data management
  • Linked data research

Background:

  • Metadata is vital for health research infrastructure.
  • Challenges exist in finding and accessing metadata for multiple data collections due to a diverse data custodian landscape in Australia.
  • This hinders linked data researchers, making information retrieval arduous and time-consuming.

Purpose of the Study:

  • To develop a metadata platform to improve the discoverability and evaluation of Australian data collections for linked data research.
  • To address challenges faced by researchers in accessing and assessing relevant metadata.
  • To standardize metadata presentation nationally.

Main Methods:

  • A three-phase project: scoping, national consultation, and platform build/implementation.
  • Involved understanding current metadata practices and best practices.
  • Developed a high-fidelity prototype through user consultations, prototyping, and testing cycles.

Main Results:

  • Expert interviews confirmed abundant but inaccessible metadata.
  • Researchers identified needs for standardized metadata and a centralized platform for enhanced discoverability.
  • Key features included search, browse, filter capabilities, data item lists, standardized formats, sample data, and FAQs.

Conclusions:

  • The Population Health Research Network developed a metadata platform to aid researchers in evaluating Australian data collections for linked data projects.
  • The platform standardizes metadata presentation nationally, improving quality, readability, and accessibility.
  • This leads to time savings and enhanced quality of linked data applications.