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Related Concept Videos

Data Collection I01:30

Data Collection I

8.9K
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...
8.9K
Data Collection by Observations01:08

Data Collection by Observations

15.6K
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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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...
10.4K
Data Collection by Survey01:07

Data Collection by Survey

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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...
9.5K
Data Collection III01:05

Data Collection III

4.8K
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...
4.8K
Data Collection by Experiments01:13

Data Collection by Experiments

28.0K
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...
28.0K

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Related Experiment Video

Updated: Mar 18, 2026

Visualizing Field Data Collection Procedures of Exposure and Biomarker Assessments for the Household Air Pollution Intervention Network Trial in India
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A new approach to configurable primary data collection.

J Stanek1, E Babkin2, M Zubov2

  • 1Advanced Computing Research Centre, University of South Australia, Mawson Lakes, South Australia, Australia.

Computer Methods and Programs in Biomedicine
|July 10, 2016
PubMed
Summary

This study introduces a configurable system for transforming and submitting diverse health and genomic data. The Configurable Data Collection System (CDCS) streamlines data handling, reducing manual entry and ensuring consistency across repositories.

Keywords:
CustomizationExtraction–transformation–loadingGenomic dataManual entry optimizationVariety

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Area of Science:

  • Genomics and Health Informatics
  • Computational Biology
  • Data Science

Background:

  • Genomic and health data processing faces challenges due to divergent formats, semantics, and rapidly changing operational rules.
  • Consistent transformation and loading of heterogeneous data into various repositories is critical for large-scale genomic and health projects.

Purpose of the Study:

  • To design a novel conceptual approach for configurable data transformation, de-identification, and submission of health and genomic datasets.
  • To facilitate automated or human-driven data uploading and consolidation of heterogeneous sources.

Main Methods:

  • Applied on-demand specialization of generic software components.
  • Developed a simple data model of flat tables, a domain-oriented graphical interface, and portable XML representations for data transformations.
  • Implemented a prototype, the Configurable Data Collection System (CDCS), in Java with reusable plugin-based transformation logic.

Main Results:

  • Developed CDCS, a configurable, service-oriented system for semi-automatic data collection, transformation, sanitization, and secure uploading to heterogeneous repositories.
  • Enabled interactive, user-driven configuration to address dynamic data schemas and collection processes.
  • Reduced manual data entry for missing output data.

Conclusions:

  • The CDCS prototype is confirmed by domain experts to be flexible, configurable, and extensible.
  • The system operates effectively on data owner's systems and is independent of vendor standards.