Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Data Collection by Observations01:08

Data Collection by Observations

12.9K
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...
12.9K
Data Collection II01:29

Data Collection II

8.8K
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...
8.8K
Naturalistic Observations02:30

Naturalistic Observations

16.2K
If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...
16.2K
Data Collection by Experiments01:13

Data Collection by Experiments

25.4K
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...
25.4K
Data Collection I01:30

Data Collection I

6.9K
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...
6.9K
Data Collection III01:05

Data Collection III

3.2K
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...
3.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Improving arrhythmic risk prediction using cardiac magnetic resonance within deep learning in ischemic heart disease.

NPJ cardiovascular health·2026
Same author

Genome-wide study uncovering the role of GPAT gene family in watermelon and functional validation of ClGPAT8 against cold stress.

Plant science : an international journal of experimental plant biology·2026
Same author

Posterior Electrical Axis Deviation Is Associated With Future Development of Left Bundle Branch Block: A UK Biobank Study.

JACC. Advances·2026
Same author

Correction: Technical advances in robotic retinal surgery: a systematic review and future research directions.

Journal of robotic surgery·2026
Same author

Inflammatory myofibroblastic tumour masquerading as acute appendicitis in a child: Case report.

JPMA. The Journal of the Pakistan Medical Association·2026
Same author

Characterization of Mannose-Rich Exopolysaccharides from Kefir Lactic Acid Bacteria and Their Techno-Functional Potential in Fermented Milk.

Foods (Basel, Switzerland)·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Sep 22, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K

How IoT-Driven Citizen Science Coupled with Data Satisficing Can Promote Deep Citizen Science.

Stefan Poslad1, Tayyaba Irum1, Patricia Charlton2

  • 1School of Computer Science and Electronic Engineering, Queen Mary University of London (QMUL), London E1 4NS, UK.

Sensors (Basel, Switzerland)
|May 20, 2022
PubMed
Summary
This summary is machine-generated.

Citizen science using the Internet of Things (IoT-CS) can improve air quality monitoring. Data satisficing offers a feasible approach to overcome equipment limitations and ensure useful results for local air quality variations.

Keywords:
Internet of Things (IoT)citizen science (CS)data qualitydata satisficing

More Related Videos

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
07:17

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

Published on: October 28, 2022

1.7K
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.0K

Related Experiment Videos

Last Updated: Sep 22, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.3K
Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations
07:17

Deploying Community Scientists to Conduct Nondestructive Genetic Sampling of Rare Butterfly Populations

Published on: October 28, 2022

1.7K
Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy
07:13

Early Detection of Cyanobacterial Blooms and Associated Cyanotoxins using Fast Detection Strategy

Published on: February 25, 2021

4.0K

Area of Science:

  • Environmental Science
  • Computer Science
  • Sociology

Background:

  • Citizen science (CS) is increasingly vital for environmental monitoring.
  • Integrating the Internet of Things (IoT) enhances data collection capabilities.
  • Data satisficing presents a novel approach to address data quality challenges in citizen science.

Purpose of the Study:

  • To investigate the factors influencing air quality (AQ) data quality in IoT-driven citizen science (IoT-CS).
  • To explore methods for making citizen science more inclusive and accessible.
  • To assess the viability of data satisficing for overcoming calibration issues in IoT-CS AQ data.

Main Methods:

  • A citizen science experiment was conducted in four Pakistani cities with 21 volunteers.
  • Quantitative methods were employed to analyze air quality data.
  • User engagement workshops were utilized to enhance inclusivity and training.

Main Results:

  • Multiple factors affect IoT-CS AQ data quality; good practice guidelines and instrument classification can help.
  • User engagement workshops proved effective for inclusivity and training.
  • Data satisficing is proposed as a feasible method to detect local AQ variations despite uncalibrated data.

Conclusions:

  • Fostering a deep citizen science approach promotes inclusivity and knowledgeable application of science.
  • Directly cross-checking low-cost and calibrated sensors may not always be feasible or useful.
  • Leveraging data satisficing and advanced cross-checks can yield valuable insights from IoT-CS AQ data.