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

How Data are Classified: Categorical Data

How Data are Classified: Categorical Data

A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...

How Data are Classified: Numerical Data

How Data are Classified: Numerical Data

Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...

Oxygen Requirements and Growth Patterns

Oxygen Requirements and Growth Patterns

Microorganisms exhibit diverse oxygen requirements and growth patterns driven by their metabolic strategies and environmental adaptations. Oxygen, while essential for many organisms, can also be toxic under certain conditions, shaping how microorganisms grow and survive.Oxygen Requirements of MicroorganismsMicroorganisms are classified based on their ability to use or tolerate oxygen:● Obligate aerobes like Mycobacterium tuberculosis need oxygen for energy production, as it serves as the...

Data Reporting and Recording

Data Reporting and Recording

Reporting and recording are crucial in data documentation. The timely, thorough, and accurate documentation of facts is essential when recording patient data. Failure to record findings during an assessment or interpretation of a problem will result in loss of information and make the patient document unreliable. The reader is left with general impressions if the information is not specific. A recording is documenting data of the individual's health information in a traceable, secure, and...

Data Validation

Data Validation

Method validation is a crucial process in analytical chemistry designed to confirm that a given method consistently produces reliable and high-quality results. This process is essential when a method is applied to different sample matrices or when procedural modifications are made, ensuring that the results meet acceptable standards across various applications.
Key parameters for method validation include:

Data Validation

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...

You might also read

Related Articles

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

Sort by

Same author

Desert Hedgehog mediates stem Leydig cell differentiation through Ptch2/Gli1/Sf1 signaling axis.

eLife·2026

Same author

Biodegradable polylactic acid microplastics affect nutrient cycling during the entire crop growth cycle: Implications for soil ecosystem multifunctionality.

Environmental pollution (Barking, Essex : 1987)·2026

Same author

Dietary exposure to polystyrene microplastics impairs muscle growth via gut microbiota dysbiosis and hepatic oxidative stress along the gut-liver-muscle axis in Qihe gibel carp (Carassius gibelio var. Qihe).

Environmental pollution (Barking, Essex : 1987)·2026

Same author

Economic Evaluation of Self-Administered Dual-Task Training Reducing Falls in Community-Dwelling Older Adults: Cost-Effectiveness Analysis of a Multicenter Randomized Control Trial.

Journal of physical activity & health·2026

Same author

Unraveling Bridging-Oxygen-Driven Ultrafast Amorphization in Superionic Oxyhalide Conductors via in Situ Synchrotron X-Ray Scattering.

Angewandte Chemie (International ed. in English)·2026

Same author

Complex Fault Systems and Basin Evolution of the Bonan Area, Eastern China: Effects on the Sedimentation and Distribution of Source Rocks.

ACS omega·2026

Same journal

Microscopic modeling of attention-based movement behaviors.

Transportation research. Part C, Emerging technologies·2025

Same journal

A distributionally robust optimization approach for airline integrated recovery under in-flight pandemic transmission risks.

Transportation research. Part C, Emerging technologies·2023

Same journal

Behavioral inference from non-stationary policies: Theory and application to ridehailing drivers during COVID-19 lockdowns.

Transportation research. Part C, Emerging technologies·2023

Same journal

Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data.

Transportation research. Part C, Emerging technologies·2022

Same journal

Logistics of temporary testing centers for coronavirus disease.

Transportation research. Part C, Emerging technologies·2022

Same journal

TLQP: Early-stage transportation lock-down and quarantine problem.

Transportation research. Part C, Emerging technologies·2022

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 15, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

On data processing required to derive mobility patterns from passively-generated mobile phone data.

Feilong Wang¹, Cynthia Chen¹

¹Department of Civil and Environmental Engineering, University of Washington, Seattle, United States.

Transportation Research. Part C, Emerging Technologies

|February 6, 2018

Summary

This summary is machine-generated.

Mobile phone data offers insights into human mobility. This study introduces a framework to process Call Detail Record (CDR) and sightings data, improving accuracy for transportation research.

Keywords:

Human mobility trajectory Incremental clustering method Locational uncertainty Oscillation problem Representativeness issue Statistical regularity Time-window-based method

More Related Videos

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Related Experiment Videos

Last Updated: Feb 15, 2026

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Using a Cyclic Ion Mobility Spectrometer for Tandem Ion Mobility Experiments

Published on: January 20, 2022

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data

Published on: June 26, 2013

Pattern-based Search of Epigenomic Data Using GeNemo

Pattern-based Search of Epigenomic Data Using GeNemo

Published on: October 8, 2017

Area of Science:

Transportation science
Data science
Human mobility studies

Background:

Mobile phone data, including Call Detail Records (CDR) and sightings data, is increasingly used in transportation research.
Limited studies document the properties and processing methods for this data, hindering its reliable application.

Purpose of the Study:

To describe common mobile phone data types (CDR and sightings data).
To propose a data processing framework and algorithms addressing locational uncertainty and oscillation in sightings data.
To evaluate the impact of data processing on the statistical regularity of human mobility patterns.

Main Methods:

Description of Call Detail Record (CDR) and sightings data characteristics.
Development of a data processing framework with algorithms for locational uncertainty and oscillation.
Comparative analysis of proposed methods against state-of-the-art algorithms.

Main Results:

The proposed methods effectively address locational uncertainty and oscillation in mobile phone sightings data.
Failure to properly process data leads to overestimation of the statistical regularity of human mobility patterns.
Demonstrated improvement in data quality for transportation research applications.

Conclusions:

Understanding and processing mobile phone data properties is fundamental for accurate human mobility insights.
The developed framework enhances the reliability of mobile phone data for transportation research.
Further research into data properties and processing methods is encouraged to unlock the full potential of mobile phone data.