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Related Concept Videos

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...
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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Data Collection II01:29

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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 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...
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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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Related Experiment Video

Updated: Jan 22, 2026

Methods for Image-based Surveys of Benthic Macroinvertebrates and Their Habitat Exemplified by the Drop Camera Survey for the Atlantic Sea Scallop
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Food fraud data collection needs survey.

John Spink1, Christopher Elliott2, Moira Dean3

  • 11College of Veterinary Medicine, Michigan State University, 1129 Farm Lane, East Lansing, MI USA.

NPJ Science of Food
|July 16, 2019
PubMed
Summary
This summary is machine-generated.

Food fraud prevention requires clearer methods and harmonized terms for vulnerability assessments. While data is sufficient, guidance is needed for strategy development and risk correlation to improve food safety.

Keywords:
EconomicsScience, technology and society

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Area of Science:

  • Food Science
  • Risk Management
  • Information Systems

Background:

  • Food fraud poses a significant threat to public health and supply chain integrity.
  • Effective prevention strategies rely on comprehensive data and robust assessment methodologies.

Purpose of the Study:

  • To identify data collection needs for effective food fraud prevention.
  • To understand current challenges in food fraud vulnerability assessments and information sharing.

Main Methods:

  • An anonymous online survey was distributed to food fraud leaders in manufacturing/brand owner companies and a public group.
  • Analysis of 96 survey responses to assess data availability, process needs, and assessment clarity.

Main Results:

  • Respondents indicated sufficient data for current needs but highlighted a need for more guidance on vulnerability assessments and enterprise-wide risk correlation.
  • A lack of clarity exists regarding the scope of fraud types and confidence in root-cause analysis for vulnerability assessments.
  • There is a recognized need for more formal methods and processes in addressing food fraud.

Conclusions:

  • Harmonizing terms, assessment methods, and strategies is crucial for defining future data collection requirements.
  • Further research should explore specific data needs and include perspectives from regulators and enforcement agencies.