data scarcity

USAGE SUMMARY

"data scarcity" is a correct term that can be used in written English.
For example, "The data scarcity of the region has hampered scientific progress."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Hydrogeologist are commonly confronted to field data scarcity.

Journal of Hydrology

The proposed nested multi-response approach may help to better predict water resources despite data scarcity.

Journal of Hydrology

However, few studies have explored the comprehensive impacts of rainfall data scarcity on H/NPS predictions.

Journal of Hydrology

The advantage of spatial downscaling is that it can be implemented in situations of data scarcity.

Geoderma

Difficulties associated with working in semi-arid regions include data scarcity.

Agricultural Water Management

This might be a crucial drawback for those equations in case of local data scarcity for calibration procedure.

Journal of Hydrology

Our results also illuminate the fierce data scarcity of subpermafrost groundwater systems, and the necessity of resolving this.

Journal of Hydrology

Problem of data scarcity is addressed analytically and virtual samples are produced via enthalpy formulation for battery heat generation.

Computers & Chemical Engineering

Unlabeled data partially alleviates the training data scarcity problem, thus improves the efficiency of support vector machine (SVM) active learning.

Pattern Recognition

Logarithmic transformation of dependent variables is used to alleviate the problems of data scarcity and data exponentiality simultaneously.

Energy

"One of the problems in planning and development in the Caribbean is data scarcity and Trinidad and Tobago is no exception.

Harvard University

Expert writing Tips

Best practice

When discussing research limitations, clearly state how "data scarcity" impacted your findings and what steps were taken to mitigate its effects.

Common error

Avoid attributing "data scarcity" solely to a lack of resources. Consider other factors such as privacy concerns, proprietary restrictions, or technological limitations that may contribute to the issue.

Linguistic Context

The phrase "data scarcity" functions as a noun phrase, typically serving as the subject or object of a sentence. It identifies a condition where data is lacking or insufficient for a particular purpose. Ludwig's examples show its application in scientific and general contexts.

Expression frequency: Very common

Frequent in

Science

60%

Academia

20%

News & Media

10%

Less common in

Formal & Business

5%

Encyclopedias

3%

Wiki

2%

Ludwig's WRAP-UP

In summary, "data scarcity" is a noun phrase used to describe situations where there is a limited or insufficient amount of data available. As Ludwig AI confirms, the phrase is grammatically correct and frequently used across various domains, including science, academia, and news media. When writing about "data scarcity", it's important to clearly explain its impact and consider strategies to mitigate its effects, while avoiding overgeneralizations about its causes. Related terms include "lack of data" and "limited data availability".

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

lack of data

This alternative directly states the absence of data, simplifying the concept.

limited data availability

It emphasizes the restricted nature of data that can be accessed or utilized.

paucity of data

It uses a more formal term for scarcity, indicating a small quantity of data.

data deficiency

A formal way to express the inadequacy of data.

shortage of data

This implies a deficiency in the amount of data required or expected.

inadequate data

It suggests that the available data is insufficient for the intended purpose.

deficient data

This emphasizes the incomplete or flawed nature of the data.

restricted data access

It focuses on the limitations in obtaining or using data.

limited information

This broadens the scope to any type of information, not just structured data.

sparse data

It indicates that the data points are widely scattered or infrequent.

FAQs

How does "data scarcity" affect research outcomes?

"Data scarcity" can limit the scope and reliability of research, potentially leading to biased or incomplete conclusions. It may also necessitate the use of alternative methodologies or data sources.

What are some strategies for dealing with "data scarcity" in modeling?

Strategies include using global datasets to compensate for meteorological "data scarcity", employing spatial downscaling techniques, or generating virtual samples through analytical methods.

What are the ethical considerations related to "data scarcity"?

Relying on limited data can disproportionately affect certain populations or groups, potentially leading to unfair or discriminatory outcomes. It is crucial to acknowledge and address these biases in data collection and analysis.

What is the difference between "data scarcity" and "data absence"?

"Data scarcity" refers to a situation where data is limited or insufficient, while "data absence" indicates a complete lack of data. The former may allow for some analysis, while the latter often prevents it entirely.