lack of robust data

USAGE SUMMARY

The phrase "lack of robust data" is correct and usable in written English.
It can be used when discussing insufficient or inadequate data that is not strong or reliable enough to support a conclusion or decision. Example: "The study's findings were inconclusive due to a lack of robust data, making it difficult to draw any meaningful insights."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

26 human-written examples

Gender identity will also be examined as a possible topic after concerns were raised that there was a lack of "robust" data on the trans community.

The Guardian

There is a lack of robust data to inform a schedule for the surveillance of dichorionic gestations.

American Journal of Obstetrics and Gynecology

While the organisation said a lack of robust data made it difficult to draw a conclusion on the state of the sector, it warned that cost-cutting measures, including so-called transformation programmes, could be linked to poor patient care.

The Guardian

The use of third-line targeted therapy (TTT) in metastatic renal cell carcinoma (mRCC) is not well characterized and varies due to the lack of robust data to guide treatment decisions.

European Urology

Current limitations impeding on data reproducibility are often poor statistical design, underpowered studies, lack of robust data, lack of methodological detail, biased reporting and lack of open data sharing, coupled with wrong research incentives.

European Neuropsychopharmacology

This is particularly interesting given his persistent interest in non-market behaviour; though, it seems to have been justified by the lack of robust data that could support those calculuses.

IZA Journal of Labor Economics

Human-verified similar examples from authoritative sources

Similar Expressions

34 human-written examples

Recent studies are lacking of robust data, in spite of which, nebulized therapy has shown to be effective.

BMC Infectious Diseases

More intensive, active management has been largely constrained by a deficit of robust data and general lack of clarity regarding even the species' basic ecology.

BMC Evolutionary Biology

The paucity of robust data and the lack of consensus noted above provoked us to look again at complement proteins in MS CNS tissue.

Acta neuropathologica communications

They include a number of robust data protection safeguards.

European Parliament

As a result, this study addresses the lack of prospective robust data on the effects of antenatal exercise on short- and long-term outcomes of mothers and their offspring (43).

BMC Pregnancy and Childbirth

Expert writing Tips

Best practice

When using the phrase "lack of robust data", clearly explain the specific consequences or limitations that arise from this deficiency. For example, mention how it affects decision-making, research conclusions, or policy development.

Common error

Avoid drawing definitive conclusions when acknowledging a "lack of robust data". Instead, frame findings as preliminary or suggestive, emphasizing the need for further investigation to strengthen the evidence base.

Linguistic Context

The phrase "lack of robust data" functions as a noun phrase that typically acts as the subject complement or object within a sentence. It identifies a deficiency or absence of high-quality, reliable information. As Ludwig AI explains, the phrase is appropriate for discussing insufficient or inadequate data.

Expression frequency: Common

Frequent in

Science

79%

News & Media

13%

Formal & Business

8%

Less common in

Wiki

0%

Reference

0%

Social Media

0%

Ludwig's WRAP-UP

In summary, "lack of robust data" is a common and grammatically correct phrase used to describe the absence of reliable or high-quality information. As Ludwig AI confirms, it's appropriate for formal contexts, particularly in science, news, and business. When you need to express concern about the quality of information, using alternatives like "insufficient reliable data" or "absence of strong data" can provide variety to your writing. Remember to avoid overstating conclusions when acknowledging this limitation and be specific about its impact on your analysis. This phrase helps highlight limitations in research, justify caution, and call for further investigation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

insufficient reliable data

Replaces "robust" with "reliable" and simplifies the structure.

absence of strong data

Substitutes "lack" with "absence" and "robust" with "strong".

paucity of solid data

Replaces "lack" with "paucity" (a smaller amount) and "robust" with "solid".

deficiency of verifiable data

Replaces "lack" with "deficiency" and "robust" with "verifiable".

inadequate dependable data

Substitutes "lack of robust" with "inadequate dependable".

scarcity of validated data

Replaces "lack" with "scarcity" and "robust" with "validated".

limited availability of reliable information

Focuses on the availability aspect, using "reliable information" instead of "robust data".

shortage of conclusive evidence

Shifts from "data" to "evidence" and uses "conclusive" to replace "robust".

want of substantial evidence

Uses older-style phrasing replacing "lack" with "want" and "robust data" with "substantial evidence".

a dearth of sound information

Replaces "lack" with "dearth" and "robust data" with "sound information".

FAQs

How can I rephrase "lack of robust data" in a sentence?

Alternatives include "insufficient reliable data", "absence of strong data", or "paucity of solid data". The best choice depends on the specific context and desired level of formality.

Is it appropriate to use "lack of robust data" in formal writing?

Yes, "lack of robust data" is suitable for formal writing, particularly in academic, scientific, and professional contexts. It clearly communicates a deficiency in the quality or quantity of available data.

What are the implications of a "lack of robust data" in research?

A "lack of robust data" can lead to inconclusive results, limit the generalizability of findings, and necessitate further research to validate preliminary observations. It also affects the strength of any recommendations made based on the research.

How does "lack of robust data" differ from "lack of data"?

"Lack of data" simply indicates that data is missing. "Lack of robust data" implies that while some data may exist, it's not reliable, comprehensive, or strong enough to support meaningful analysis or conclusions. It refers to the quality, not just the presence, of data.