overlooked data

USAGE SUMMARY

The phrase "overlooked data" is correct and usable in written English.
It can be used when referring to information or data that has been neglected or not given proper attention. Example: "The research report highlighted several overlooked data points that could significantly impact the study's conclusions."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

6 human-written examples

Rory might have been saved by a swift dose of antibiotics but instead perished in a perfect storm of false assumptions, overlooked data and overburdened doctors.

The New York Times

IJ planned and overlooked data collection at baseline, and MF overlooked and planned data collection at follow-up.

BMC Psychiatry

Our TMRCA estimates (Table 1) and signatures of population expansions for L3f1b and L3f3 appear to correlate well with the paleoclimatic record in African Sahel, another highly overlooked data source in African genetic studies.

BMC Evolutionary Biology

EHRs, while not a perfect tool due to the potential for improperly entered or overlooked data, have great potential for research, with studies showing that EHRs have potential for increasing documentation and treatment of obese patients [ 33].

BMC Health Services Research

When nurses or allied health professionals initiated communication, these attempts were often overlooked (data extract 5).

BMC Health Services Research

Often overlooked, data preprocessing is an essential step in data analysis: the presence of unreliable features and noise can affect the conclusions drawn from downstream analyses.

Briefings in Bioinformatics

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

In BDA research, attention to validity and reliability is required because the scale of the datasets is often huge, the variety of data types is high, and the model is built after the data has already been collected and because overlooking data validity and reliability issues would risk ending up with contaminated analytics and hence interpretations.

Journal of Big Data

Furthermore, the comprehensive data collection enabled to capture often overlooked information such as work-related aspects.

BMC Musculoskeletal Disorders

In addition, the manual completion of telephone response forms resulted in a substantial amount of missing data, as first and second-tier EOC staff often overlooked key data elements in their efforts to provide timely responses to public demands.

Emerging Infectious Diseases

"But there is another aspect of the project that is sometimes overlooked: the data".

The New York Times - Arts

The timing of analysis (PTSD symptomatology is often time-limited) is also important and is often overlooked during data comparisons.

Critical Care

Expert writing Tips

Best practice

When using the phrase "overlooked data", ensure the context clearly indicates why the data was initially missed and what potential impact its inclusion could have on the analysis or decision-making process.

Common error

Avoid exaggerating the importance of the "overlooked data". Clearly articulate its relevance and potential impact, rather than making unsubstantiated claims about its transformative power.

Linguistic Context

The phrase "overlooked data" primarily functions as a noun phrase where the adjective "overlooked" modifies the noun "data". It describes data that was previously ignored or not given sufficient attention. Ludwig AI confirms that the phrase is grammatically correct and usable.

Expression frequency: Uncommon

Frequent in

Science

60%

News & Media

30%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "overlooked data" is a grammatically correct phrase used to describe information that has been missed or not adequately considered. Ludwig AI analysis indicates that it is most commonly used in scientific and news contexts. When incorporating this phrase into your writing, ensure you clearly articulate why the data was initially missed and what impact its inclusion might have. Consider alternative phrases like ""neglected data"" or ""missed data"" to add nuance. Avoid overstating the significance of the "overlooked data", and always provide clear justification for its relevance.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

neglected data

Replaces "overlooked" with "neglected", emphasizing a lack of attention or care.

missed data

Substitutes "overlooked" with "missed", highlighting the failure to notice or consider the data.

unnoticed data

Replaces "overlooked" with "unnoticed", focusing on the data not being observed or recognized.

ignored data

Substitutes "overlooked" with "ignored", suggesting a deliberate disregard of the data.

unconsidered data

Replaces "overlooked" with "unconsidered", stressing the lack of thought or evaluation given to the data.

overlooked information

Replaces "data" with "information", slightly broadening the scope to include more general knowledge.

previously unseen data

Emphasizes that the data was not seen or considered before.

underestimated data

Focuses on the data's importance being less appreciated than it should be.

data worth revisiting

Highlights the potential value of re-examining the data.

data requiring further attention

Emphasizes the need for more focus and analysis on the data.

FAQs

How can I effectively use "overlooked data" in a research paper?

When incorporating "overlooked data" in your research, clearly state why the data was initially missed and how its inclusion alters or enhances the existing understanding of the topic. Provide specific examples and analysis to support your claims.

What are some alternative phrases for "overlooked data"?

You can use alternatives like "neglected data", "missed data", or "unnoticed data" depending on the specific context.

In data analysis, what steps can be taken to prevent "overlooked data"?

To prevent "overlooked data", implement comprehensive data collection protocols, utilize multiple analysis techniques, and involve diverse perspectives in the review process. Regularly audit data sets for completeness and accuracy.

What's the difference between "overlooked data" and "inaccurate data"?

"Overlooked data" refers to data that was missed or not considered in an analysis, while "inaccurate data" refers to data that contains errors or is not reliable. Overlooked data may be perfectly accurate but simply not included, whereas inaccurate data is flawed regardless of whether it's included or not.