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Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

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data capture

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data capture" is correct and commonly used in written English.
You can use "data capture" when referring to the process of collecting or obtaining data. For example: - The company uses advanced technology for data capture in order to analyze customer behavior. - Please ensure accurate data capture when inputting information into the system. - The research team employed various methods of data capture to gather information for the study.

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Passive data capture.

(a) Data capture.

Science & Research

Nature

Data capture opportunities: Five data capture questions of your choice on our pre-event registration form.

News & Media

The Guardian

Data capture is locking both sides in a tight embrace.

Captricity offers a wholly new approach to data capture.

This is described as "mass covert data capture" in the world of biometrics.

News & Media

The New York Times

Data capture was controlled and analysis performed using Labview.

"This is just the start in terms of pure data capture," Mr. Dean said.

And they are doing more than email marketing and simple data capture.

News & Media

The Guardian

For many businesses, the data capture process will be more challenging.

But over time, quality matters, so companies will want to initiate processes for improving data capture.

Show more...

Expert writing Tips

Best practice

When discussing automated processes, use "data capture" to emphasize the technical aspect of automatically collecting data.

Common error

In casual conversations, simpler terms like "collecting data" or "getting information" might sound more natural than the somewhat formal "data capture".

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data capture" functions primarily as a noun phrase, often acting as the subject or object of a sentence. It describes the act of collecting or acquiring data. As Ludwig AI confirms, it’s widely used, referring to the process of obtaining data.

Expression frequency: Very common

Frequent in

Science

40%

News & Media

35%

Formal & Business

25%

Less common in

Wiki

0.016666666666666666%

Academia

0.1%

Reference

0%

Ludwig's WRAP-UP

In summary, "data capture" is a noun phrase denoting the process of collecting or acquiring data. As Ludwig AI verifies, this phrase is correct and commonly used in written English. It is frequently employed in scientific, news, media, and business contexts. While grammatically sound and widely accepted, simpler terms might be more appropriate in casual settings. The phrase benefits from numerous related alternatives such as "data acquisition" or "data collection". Remember to consider the context and audience when choosing between "data capture" and simpler alternatives.

FAQs

How is "data capture" used in technical contexts?

In technical contexts, "data capture" refers to the process of automatically or systematically collecting data using various methods and technologies. It often implies a level of automation or precision in the "data collection" process.

What are some synonyms for "data capture"?

Some synonyms for "data capture" include "data acquisition", "data collection", and "information gathering". The best choice depends on the specific nuance you want to convey.

Is "data capture" appropriate for all types of writing?

"Data capture" is generally suitable for technical, formal, or business writing. In more informal contexts, you might prefer simpler phrases like "getting data" or "collecting information". Choosing the right term depends on your audience and the overall tone of your writing.

What is the difference between "data capture" and "data analysis"?

"Data capture" refers to the process of collecting raw data, while "data analysis" involves examining, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. They are distinct but related stages in the "data processing" pipeline.

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Source & Trust

83%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: