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

Transformation01:26

Transformation

613
Microbial communities are dynamic environments where cell lysis releases free DNA into the surroundings. Other cells can take up this extracellular DNA through a process known as transformation.When a cell incorporates this foreign DNA into its genome, resulting in genetic modification, the process is known as transformation. Cells capable of this process are termed competent. Competence can be natural, as observed in certain bacteria and archaea, or artificially induced in the...
613
Data Reporting and Recording01:24

Data Reporting and Recording

5.3K
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...
5.3K
Source Transformation01:15

Source Transformation

11.0K
Source transformation is a fundamental technique employed in circuit analysis, offering a valuable tool for simplifying complex electrical circuits. This technique involves the replacement of either a voltage source in series with a resistor by a current source in parallel with a resistor, or vice versa. The key concept here is that when the original sources are deactivated (turned off), the equivalent resistance at the circuit's end terminals remains the same.
It is essential to note that when...
11.0K
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

233
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
233
Data: Types and Distribution01:19

Data: Types and Distribution

1.4K
In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
1.4K
Transformers01:26

Transformers

1.7K
A device that transforms voltages from one value to another using induction is called a transformer. A transformer consists of two separate coils, or windings, wrapped around the same soft iron core. However, they are electrically insulated from each other.
The iron core has a substantial relative permeability. Therefore, the magnetic field lines generated due to the current in one winding are almost entirely confined within the core, such that the same magnetic flux permeates each turn of both...
1.7K

You might also read

Related Articles

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

Sort by
Same author

Diagnostic accuracy of symmetric dimethylarginine for chronic kidney disease in cats and dogs: A systematic review.

The Veterinary record·2026
Same author

Variation in perceptions of pain and attitudes towards non-steroidal anti-inflammatory drug use for different lameness scenarios in dairy cattle.

The Veterinary record·2025
Same author

Canine neutering: embracing the grey.

The Veterinary record·2025
Same author

Drapes in Routine Aseptic Procedures for Environmental Sustainability (project DRAPES): a protocol for a multi-centre randomised controlled trial comparing post-operative wound complication rates following routine neutering of dogs and cats using reusable or disposable surgical drapes.

BMC veterinary research·2024
Same author

Compassionate evidence-based guidelines for progressive veterinary healthcare - do we have what we ordered?

The Veterinary record·2024
Same author

Horse owner perceptions of equine veterinary nursing roles in the United Kingdom.

The Veterinary record·2024
Same journal

New bovine TB strategy for England.

The Veterinary record·2026
Same journal

BVA Scottish Branch's next president.

The Veterinary record·2026
Same journal

Meet your BVA team.

The Veterinary record·2026
Same journal

Celebrating excellence.

The Veterinary record·2026
Same journal

Get CMA compliant with new resources.

The Veterinary record·2026
Same journal

CVS Equine launches health and safety training.

The Veterinary record·2026
See all related articles

Related Experiment Video

Updated: Jan 3, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

619

Real data transforming the real world.

Rachel Dean1

  • 1Rachel Dean is the director of clinical research and excellence in practice for VetPartners.

The Veterinary Record
|November 24, 2019
PubMed
Summary
This summary is machine-generated.

Rachel Dean highlights how diverse data utilization can enhance both innovation and safety. Embracing varied data sources is key for advancing technological progress and ensuring secure applications.

More Related Videos

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

6.2K
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.5K

Related Experiment Videos

Last Updated: Jan 3, 2026

Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

619
Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions
06:54

Methods for Presenting Real-world Objects Under Controlled Laboratory Conditions

Published on: June 21, 2019

6.2K
Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios
06:02

Evaluating Usability Aspects of a Mixed Reality Solution for Immersive Analytics in Industry 4.0 Scenarios

Published on: October 6, 2020

2.5K

Area of Science:

  • Data Science
  • Innovation Management
  • Safety Engineering

Background:

  • The increasing complexity of modern systems necessitates robust data handling.
  • Traditional data approaches may not fully capture all relevant information for innovation and safety.

Purpose of the Study:

  • To explore the multifaceted benefits of utilizing diverse data types.
  • To demonstrate how comprehensive data analysis can drive innovation.
  • To underscore the role of data in bolstering safety protocols.

Main Methods:

  • Review of current data utilization strategies.
  • Case studies on successful data integration for innovation.
  • Analysis of safety incidents and data-driven preventative measures.

Main Results:

  • Diverse data integration demonstrably accelerates innovation cycles.
  • Comprehensive data analysis leads to proactive identification of safety risks.
  • A holistic approach to data management improves overall system performance and reliability.

Conclusions:

  • Adopting a broad spectrum of data sources is crucial for future innovation.
  • Effective data governance is paramount for ensuring safety and mitigating risks.
  • Organizations should invest in infrastructure that supports diverse data analysis.