Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Data Collection by Survey

Data Collection by Survey

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...

Surveys

Surveys

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.

Data Collection by Observations

Data Collection by Observations

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...

You might also read

Related Articles

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

Sort by

Same author

Collaborative care intervention for risky opioid use among primary care patients: The STOP randomized clinical trial.

Addiction (Abingdon, England)·2026

Same author

DSA-NRP: No-Reflow Prediction from Angiographic Perfusion Dynamics in Stroke EVT.

IEEE transactions on medical imaging·2026

Same author

Clin-STAR Corner: Practice Changing Advances at the Interface of Artificial Intelligence/Machine Learning and Geriatrics.

Journal of the American Geriatrics Society·2026

Same author

Dynamic Bayesian networks to predict loss of kidney function: a cross-institution use case in a large cohort with or at-risk of CKD.

BMC medical informatics and decision making·2026

Same author

Development, Feasibility, Acceptability, and Usability of an Artificial Intelligence-Powered Chatbot (Suzy) to Support Patients in Substance Use Disorder Recovery: Multiphase Study.

JMIR formative research·2026

Same author

Automated Computed Tomography-based Liver Steatosis Risk Stratification of Deceased Organ Donors Using Real-world Data.

Transplantation·2026

Search research articles

Related Experiment Video

Updated: May 26, 2026

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

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

Published on: July 27, 2018

Wireless data collection of self-administered surveys using tablet computers.

Kyle W Singleton¹, Mars Lan, Corey Arnold

¹Medical Imaging Informatics Group, Los Angeles, CA, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

|December 24, 2011

Summary

This study introduces a new tablet-based system for collecting survey data, improving efficiency for field researchers. The portable, touch-screen interface supports diverse users in health studies.

More Related Videos

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

Related Experiment Videos

Last Updated: May 26, 2026

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

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

Published on: July 27, 2018

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies

Published on: February 3, 2023

Area of Science:

Health Informatics
Clinical Research Technology
Data Collection Systems

Background:

Traditional paper-based data collection is being replaced by electronic systems.
Existing electronic data capture systems often rely on desktop/laptop web browsers, requiring keyboard and mouse input.
There is a need for portable, user-friendly data collection tools for field research.

Purpose of the Study:

To present a novel touch screen-based data collection system for tablet PCs.
To address the challenges of portability, limited screen space, and diverse user literacy in field research.
To facilitate accurate and expeditious survey data collection in clinical settings.

Main Methods:

Development of a system utilizing a touch screen interface on a tablet PC.
Consideration for portability, limited screen space, wireless connectivity, and user-friendliness for potentially inexperienced users.
The system was developed using C#, ASP.net, and SQL Server over one year.

Main Results:

The system is currently deployed in Los Angeles area community health centers.
Data is being collected for a study on drug addiction and intervention.
The system facilitates efficient data capture in a real-world clinical research setting.

Conclusions:

The developed tablet-based system offers a viable alternative to traditional data collection methods.
The system's design considerations enhance its applicability in diverse field research scenarios.
This technology supports critical research studies by improving data collection processes.