robust data

USAGE SUMMARY

"robust data" is a correct and usable phrase in written English.
You can use this phrase to refer to data that is well-supported, reliable, and stable. For example: "The study found a positive correlation between happiness and wealth, supported by robust data from decades of research."

✓ Grammatically correct

News & Media

Science

Academia

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

Maestro provides engaging video experiences that drive user action, sponsor & transactional revenue, and robust data collection for business-minded broadcasters.

TechCrunch

Enabling access to more robust data to inform programmatic improvements.

University of California, Berkeley

A robust data reconciliation method is proposed.

IFAC Proceedings Volumes

Robust data systems exist to assess impact.

Preventive Medicine Reports

Key to getting funding has been its use of robust data proving its impact and efficiency.

The Guardian

This in turn gives us more robust data that we can publish with confidence.

The Guardian

This encompasses aspects such as clearly defined responsibilities, robust data, on-going monitoring and performance review.

The Guardian

"They all require robust data [capacity] countywide that doesn't exist today," Stoddard told the council.

The Washington Post

Our robust data protection policies comply with US, international, European Union, and national regulations," it said.

The Guardian

Robust data showing more than 150,000 jobs added could prompt the Fed to wait longer.

The Washington Post

It says it is vital the UK government begins to collect robust data on UK food insecurity.

The Guardian

Expert writing Tips

Best practice

When presenting research findings, always specify how the "robust data" was collected and analyzed to ensure transparency and credibility.

Common error

Avoid claiming data is "robust" without sufficient evidence. Always provide context on limitations and potential biases.

Linguistic Context

The phrase "robust data" functions as a noun phrase, where "robust" modifies the noun "data". It typically describes data that is reliable, well-supported, and capable of withstanding scrutiny. Ludwig AI confirms this usage is correct and common in various contexts.

Expression frequency: Very common

Frequent in

News & Media

42%

Science

40%

Academia

13%

Less common in

Formal & Business

5%

Social Media

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "robust data" is a frequently used phrase that describes reliable and well-supported information. Ludwig AI confirms its correctness and widespread application across various domains, including news, science, and academia. When using this phrase, it's essential to ensure that the data's reliability is well-documented and can withstand scrutiny. Alternatives like "reliable data" or "solid data" can be used depending on the specific context. By understanding its usage and potential pitfalls, you can effectively communicate the credibility and value of your data.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

Reliable data

Replaces "robust" with a synonym emphasizing dependability.

Dependable data

Similar to reliable, focusing on the trustworthiness of the data.

Sturdy data

Uses "sturdy" to highlight the strong and reliable nature of the data.

Solid data

Emphasizes the firm and well-founded quality of the data.

Substantial data

Focuses on the significant amount and value of the data.

Comprehensive data

Highlights the thorough and complete nature of the data.

Validated data

Emphasizes that the data has been confirmed and verified.

Verified data

Similar to validated, highlighting the checked and confirmed state of the data.

Well-supported data

Highlights that the data is backed by evidence and reasoning.

Stringent data

Uses "stringent" to emphasize the strict quality control during data collection.

FAQs

How can I use "robust data" in a sentence?

You can use "robust data" to describe information that is reliable and well-supported, such as "The study's conclusions are based on "robust data" collected over a decade".

What's the difference between "robust data" and "reliable data"?

While both terms indicate trustworthiness, "robust data" often implies that the data is not only reliable but also resilient and can withstand scrutiny and various analyses. "Reliable data" simply suggests that the data is dependable and accurate.

What are some alternatives to saying "robust data"?

Depending on the context, you could use alternatives such as "solid data", "substantial data", or "comprehensive data".

Why is it important to have "robust data"?

Having "robust data" is crucial for making informed decisions, supporting research findings, and ensuring the validity of conclusions. It minimizes the risk of errors and biases in analysis.