Used and loved by millions

Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak quote

Justyna Jupowicz-Kozak

CEO of Professional Science Editing for Scientists @ prosciediting.com

MitStanfordHarvardAustralian Nationa UniversityNanyangOxford

data deficiency

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "data deficiency" is correct and usable in written English.
It can be used to describe a lack of sufficient data or information in a particular context, such as research or analysis. Example: "The study's findings were inconclusive due to a significant data deficiency, which hindered the researchers' ability to draw reliable conclusions."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

23 human-written examples

Read more stories like this: Global food waste campaigns suffer from data deficiency A third of the world's food is wasted – how can we stop the rot?

News & Media

The Guardian

New methods should also be explored simultaneously to evaluate the risk of hidden failure under the condition of data deficiency.

The case of data deficiency explored in the study is important because it is a relatively general situation in practice.

While a range of approaches have been proposed to estimate population abundance based on existing data, data deficiency is ubiquitous.

Auxiliary data sources, like videos, are thus necessary to overcome the data deficiency in photo collections and to obtain more complete models.

However, because of the complexity and harshness of leaching process, data can only be collected sparsely, which results in data deficiency in the modeling process.

Show more...

Human-verified similar examples from authoritative sources

Similar Expressions

37 human-written examples

The clinical data deficiencies are the major concern.

News & Media

The New York Times

The authors justify this by arguing that they have created a framework that exposes the data deficiencies, and so spurs others to remedy them.

News & Media

The Economist

It is concluded that these differences are related primarily to input data deficiencies.

The study shows how modelling can compensate for data deficiencies, to maximise outcomes.

The differential geometry techniques often used in this approach are intrinsically vulnerable to scaling and data deficiencies.

Show more...

Expert writing Tips

Best practice

When discussing research limitations or potential biases, explicitly state the specific "data deficiency" and its potential impact on the results.

Common error

Avoid making definitive claims or overconfident interpretations when the available data is limited. Acknowledge the "data deficiency" and suggest areas for future research to address the gap.

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

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Linguistic Context

The phrase "data deficiency" functions as a noun phrase typically used as a subject or object in a sentence. It refers to a state of lacking sufficient data for a particular purpose. Ludwig AI's analysis confirms its correct usage in various contexts.

Expression frequency: Uncommon

Frequent in

Science

65%

News & Media

15%

Formal & Business

10%

Less common in

Encyclopedias

0%

Wiki

0%

Reference

0%

Ludwig's WRAP-UP

In summary, "data deficiency" is a noun phrase that denotes a lack of adequate data. According to Ludwig AI, it's grammatically correct and mainly used in scientific, news, and formal business contexts. While not extremely common, it effectively serves to acknowledge limitations in research or decision-making. Related phrases like "lack of data" or "insufficient data" can often be used interchangeably. When using the phrase, avoid overstating conclusions based on limited data and always acknowledge its potential impact.

FAQs

How can I address a "data deficiency" in my research?

Acknowledge the limitation in your study, discuss potential biases, and suggest future research to fill the "data gap". Consider using alternative methods or data sources to mitigate the impact of the "data deficiency".

What are some common causes of "data deficiency"?

Common causes include limited resources for data collection, privacy concerns, technological limitations, and difficulties in accessing or sharing existing datasets.

What are the consequences of making decisions based on "data deficiency"?

Decisions made with limited data can lead to inaccurate conclusions, ineffective strategies, and unintended negative consequences. It's crucial to acknowledge the uncertainty and consider alternative scenarios.

What is the difference between "data deficiency" and "data insufficiency"?

While both terms refer to a lack of adequate data, "data deficiency" can imply a broader lack of data in a particular area, while "data insufficiency" might suggest the data is not comprehensive or detailed enough for a specific task.

ChatGPT power + Grammarly precisionChatGPT power + Grammarly precision
ChatGPT + Grammarly

Editing plus AI, all in one place.

Stop switching between tools. Your AI writing partner for everything—polishing proposals, crafting emails, finding the right tone.

Source & Trust

82%

Authority and reliability

4.5/5

Expert rating

Real-world application tested

Most frequent sentences: