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 II01:29

Data Collection II

10.1K
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...
10.1K
Data Collection I01:30

Data Collection I

8.5K
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...
8.5K
Data Collection by Experiments01:13

Data Collection by Experiments

27.5K
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...
27.5K
Data Collection by Survey01:07

Data Collection by Survey

9.1K
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...
9.1K
Data Collection by Observations01:08

Data Collection by Observations

15.0K
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...
15.0K
Data Collection III01:05

Data Collection III

4.5K
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...
4.5K

You might also read

Related Articles

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

Sort by
Same author

Elective genomic sequencing for adults in research, clinical and commercial contexts.

BMC medical genomics·2026
Same author

Elective genomic sequencing for adults in research, clinical and commercial contexts.

medRxiv : the preprint server for health sciences·2026
Same author

Estimating the causal effects of multiple intermittent treatments with application to COVID-19.

Journal of the Royal Statistical Society. Series C, Applied statistics·2026
Same author

Mutational patterns in a large cohort of parathyroid carcinomas.

Journal of endocrinological investigation·2026
Same author

Leveraging Generative AI for Interpretable Clinical Decision Making Through Causal Graphs.

Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing·2026
Same author

A transcriptional program associated with neurotransmission in the living human brain.

Molecular psychiatry·2026

Related Experiment Video

Updated: Feb 10, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.3K

The asthma mobile health study, smartphone data collected using ResearchKit.

Yu-Feng Yvonne Chan1,2,3, Brian M Bot4, Micol Zweig1,3

  • 1Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

Scientific Data
|May 23, 2018
PubMed
Summary
This summary is machine-generated.

Mobile health platforms show promise for asthma research, collecting deep data from participants. This study demonstrates the feasibility of using smartphone apps for large-scale, real-world asthma data collection and analysis.

More Related Videos

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

17.3K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K

Related Experiment Videos

Last Updated: Feb 10, 2026

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies
07:20

Dried Blood Spot Collection of Health Biomarkers to Maximize Participation in Population Studies

Published on: January 28, 2014

37.3K
Video Movement Analysis Using Smartphones ViMAS: A Pilot Study
07:51

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

Published on: March 14, 2017

17.3K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K

Area of Science:

  • Digital Health
  • Respiratory Medicine
  • Data Science

Background:

  • Smart mobile platforms and sensors offer extensive data collection capabilities for health research.
  • Mobile health technologies can aid chronic disease management and advance understanding of common conditions like asthma.

Purpose of the Study:

  • To assess the feasibility of a mobile health approach for asthma research.
  • To characterize clinical data, retention, and data sharing preferences in a mobile asthma cohort.
  • To make asthma study data broadly available for further research.

Main Methods:

  • Prospective observational study utilizing an iPhone application developed with Apple's ResearchKit framework.
  • Recruitment and data collection from a large cohort of U.S. participants via the mobile platform.
  • Analysis of feasibility, clinical characteristics, data validity, user retention, and data sharing preferences.

Main Results:

  • Data from 6346 U.S. participants were collected and made available.
  • The study assessed the feasibility and characteristics of a mobile platform-recruited asthma cohort.
  • Descriptive statistics on user engagement and data sharing were generated.

Conclusions:

  • Mobile health platforms, exemplified by the Asthma Mobile Health Study, are feasible for collecting in-depth asthma data.
  • The study provides valuable data and insights into mobile health research best practices for respiratory diseases.
  • Making data broadly available can foster collaborative research to improve asthma understanding and treatment.