scarcity of data

USAGE SUMMARY

“scarcity of data” is correct and usable in written English.
You can use it when you need to express that there is a limited amount of data available. For example, “The scarcity of data made it difficult to analyze the results.”.

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Two problems: scarcity of data and talent.

Stanford University

Complicating the situation is a scarcity of data on best practices in a college environment.

The New York Times

Some believe that the scarcity of data is having a negative effect on the two companies' stock prices.

The New York Times

The module overcomes the over-fitting problem arising due to scarcity of data using dropout regularizer.

Neurocomputing

In reliability engineering, there always exist uncertainties caused by the scarcity of data and information.

Microelectronics Reliability

There is scarcity of data evaluating the nursing workload in these patients.

Enfermería Clínica

There is scarcity of data in the literature on cornel graft rejection rate in patients exclusively of African ancestry.

Saudi Journal of Ophthalmology

At the catchment area scale, the scarcity of data makes validation of PF related model components a task yet to be accomplished.

Journal of Contaminant Hydrology

Due to the scarcity of data the true distribution of facies, porosity and permeability between widely spaced wells is unknown, resulting in high uncertainty.

Journal of Petroleum Science and Engineering

Reliable reservoir characterization is essential to predict future behavior, however, scarcity of data results in uncertainties and consequently, high variability in simulated data.

Journal of Petroleum Science and Engineering

There is an obvious scarcity of data on squalene content in foods (Ryan et al. [2007]).

Botanical Studies

Expert writing Tips

Best practice

When using "scarcity of data", clearly articulate the impact of this limitation on your analysis or conclusions.

Common error

Avoid drawing definitive conclusions or making broad generalizations when acknowledging the "scarcity of data". Instead, emphasize the need for further research or caution in interpreting results.

Linguistic Context

The phrase "scarcity of data" functions as a noun phrase that identifies a limitation or deficiency. It is used to describe situations where the amount of data available is insufficient for a particular purpose. Ludwig AI confirms its correct usage in diverse contexts.

Expression frequency: Very common

Frequent in

Science

76%

News & Media

12%

Academia

7%

Less common in

Formal & Business

3%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "scarcity of data" is a grammatically sound and commonly used phrase to express a limited availability of information. Ludwig AI confirms its correctness and widespread usage across various domains, particularly in science, news, and academia. When using the phrase, it's crucial to acknowledge the impact of this limitation and avoid overstating conclusions. Alternatives like "lack of data" or "limited data availability" can be used depending on the context. Addressing the implications of this scarcity is important for transparency and accurate interpretation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

lack of data

This alternative directly indicates an absence or deficiency in data.

paucity of data

“Paucity” implies a small or insufficient quantity of data.

limited data availability

This phrase highlights the restricted access or supply of data.

inadequate data

This indicates that the available data is insufficient for a particular purpose.

dearth of data

“Dearth” suggests a severe lack or shortage of data.

insufficiency of data

This phrase points out that the data is not enough to meet requirements.

limited dataset

This refers to a data collection that is restricted in size or scope.

data deficiency

This indicates a lack or shortage in data collection or availability.

sparse data

“Sparse” suggests that the data is thinly distributed or not comprehensive.

fragmentary data

This implies that the data is incomplete or broken into pieces.

FAQs

How does "scarcity of data" impact research?

A "scarcity of data" can limit the scope and reliability of research findings, making it difficult to draw firm conclusions. It often necessitates the use of alternative methods or further data collection efforts.

What are some alternatives to "scarcity of data"?

You can use alternatives like "lack of data", "limited data availability", or "inadequate data" depending on the specific context.

When is it appropriate to use the phrase "scarcity of data"?

Use "scarcity of data" when you want to acknowledge that there is not enough data available to fully understand a situation, conduct a thorough analysis, or make informed decisions.

What are the consequences of "scarcity of data" in decision-making?

The "scarcity of data" can lead to uncertainty and increased risk in decision-making. It may force reliance on assumptions, expert opinions, or less reliable sources of information.