data limitations

USAGE SUMMARY

The phrase "data limitations" is correct and usable in written English.
It can be used when discussing constraints or restrictions related to data, such as its availability, quality, or scope. Example: "The study's findings were affected by data limitations, which restricted the analysis to a smaller sample size than originally intended."

✓ Grammatically correct

Science

News & Media

Academia

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Data limitations have generally restricted cross-country comparative analysis, limiting the focus to national case studies.

SERIEs

Data limitations preclude assessing objective stressors and also result in imprecise estimates, limiting our ability to draw firm inferences.

Duke University

There are also data limitations.

The Washington Post

Both studies were hampered by data limitations.

The New York Times

Despite data limitations, certain generalizations are possible.

The New York Times

Cortés said the "results were severely hampered by data limitations" and would produce "ineffective management advice".

The Guardian

And there are data limitations where (often younger) researchers' outputs are not comprehensively catalogued in bibliometrics databases.

The Guardian

However, the report identified concerns about data limitations that made it difficult to disaggregate statistics by gender.

The Guardian

We have, unfortunately, been unable to completely escape such data limitations.

Harvard University

Moreover, because of data limitations, those are the only ages that can be linked to parents.

Princeton University

Despite the high analysis resolution, resolving fine-scale variability of hazard potential was hindered by the data limitations.

Nature

Expert writing Tips

Best practice

When discussing research, explicitly state the "data limitations" to provide transparency and context for your findings. This enhances the credibility of your work.

Common error

Avoid exaggerating the significance of "data limitations". Acknowledge them, but focus on what can still be inferred or learned from the available data.

Linguistic Context

The phrase "data limitations" functions as a noun phrase, identifying restrictions or constraints associated with available data. As supported by Ludwig, it's used across various contexts to acknowledge imperfections in datasets.

Expression frequency: Very common

Frequent in

Science

48%

News & Media

28%

Academia

24%

Less common in

Formal & Business

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "data limitations" is a grammatically sound and frequently used term to denote restrictions or constraints associated with data. As per Ludwig, its usage is prevalent in scientific, academic, and news contexts, highlighting its relevance across various domains. When using this phrase, it's crucial to be transparent about the "data limitations" to maintain credibility, but also to avoid overstating their impact on the analysis. Alternatives like "data constraints" or "data restrictions" can be used for variety, but the core meaning remains consistent. Understanding the appropriate context and implications of "data limitations" is vital for accurate and transparent communication.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data restraints

Replaces "limitations" with "restraints", implying a stricter or more imposed restriction.

data constraints

Substitutes "limitations" with "constraints", suggesting a restriction or boundary that affects or limits something.

data restrictions

Emphasizes the restrictive aspect of the data, focusing on what cannot be done or known because of the data.

data weaknesses

Focuses on the shortcomings or vulnerabilities of the data rather than just its limitations.

limited datasets

Specifically points out that the datasets available are restricted in size or scope.

data boundaries

Highlights the limits or borders of the data's scope or applicability.

data inadequacies

Focuses on the insufficiency or deficiency of the data for a particular purpose.

incomplete data

Focuses on the fact that the data is missing some necessary components or information.

data confines

This alternative suggests that the data is restricting or enclosing something, impacting the scope.

scarcity of data

Highlights the lack of sufficient data, emphasizing its limited availability.

FAQs

How do "data limitations" affect research outcomes?

"Data limitations" can restrict the scope of analysis, reduce the generalizability of findings, and introduce potential biases. Researchers should acknowledge these limitations and interpret results cautiously.

What are some alternatives to saying "data limitations"?

You can use alternatives such as "data constraints", "data restrictions", or "data weaknesses" depending on the context.

How can I address "data limitations" in my study?

Acknowledge the "data limitations" in your study's discussion section. Explain how these limitations might impact your results and suggest potential areas for future research to overcome these limitations.

What's the difference between "data limitations" and "data bias"?

"Data limitations" refer to the constraints or restrictions on the available data, while "data bias" refers to systematic errors or distortions within the data that can lead to inaccurate or unfair results. Both can affect the validity of research, but they stem from different sources.