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clarification of data

Grammar usage guide and real-world examples

USAGE SUMMARY

The phrase "clarification of data" is correct and usable in written English.
It can be used when discussing the need to make data clearer or more understandable, often in contexts like research, analysis, or reporting. Example: "The team requested a clarification of data to ensure that all members understood the findings accurately."

✓ Grammatically correct

Science

Science & Research

Academia

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

5 human-written examples

Corresponding authors were contacted, where appropriate, for clarification of data or study type.

We contacted the primary authors for additional data and/or clarification of data.

Where necessary, clarification of data was obtained by correspondence with trial co-ordinators.

Science

BMJ Open

The majority of clarification points related to the 'economic data analysis' category and covered issues such as clarification of data sources and choices, queries about modelling decisions and requests for additional analyses.

Science

BMJ Open

Improved communication between policymakers and researchers, clarification of data sharing protocols and improved guidelines for ethics committees are tangible ways which may reduce the current obstacles to this and other similar evaluations of policy interventions which tackle key determinants of health.

Human-verified similar examples from authoritative sources

Similar Expressions

55 human-written examples

Then, on 29 February, U.S. officials surprised many observers by announcing that they were asking NSABB's 23 voting members to reconsider their unanimous opinion in light of "new data" and "clarification" of old data that suggested that at least one of the lab-created viruses is less dangerous than initially believed.

Science & Research

Science Magazine

These data will be transcribed and thematically analysed and triangulated with the quantitative data for validation and clarification of the data.

The YODA Project will contact the requestor if additional information or clarification of the data request is needed.

In addition, there may also have been misinterpretation of available data in the charts by reviewers or a lack of clarification of missing data.

When necessary, authors were contacted directly for clarification of published data.

Their comments listed below are related to the need for clarification of some data.

Science

eLife
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Expert writing Tips

Best practice

When using "clarification of data" in research or reports, specify what aspects of the data need clarification to avoid ambiguity. For instance, indicate if you're seeking clarification on data collection methods, analysis, or interpretation.

Common error

Avoid stating that "clarification of data" is needed without specifying which data or aspects require clarification. Be specific about the source and nature of the data needing clarification to avoid vagueness and ensure the request is actionable.

Antonio Rotolo, PhD - Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Antonio Rotolo, PhD

Digital Humanist | Computational Linguist | CEO @Ludwig.guru

Source & Trust

84%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Linguistic Context

The primary grammatical function of "clarification of data" is that of a noun phrase, often serving as the object of a verb or preposition. As Ludwig AI indicates, this phrase is grammatically sound. It names the action of clarifying information.

Expression frequency: Uncommon

Frequent in

Science

30%

Science & Research

20%

Academia

20%

Less common in

News & Media

15%

Formal & Business

15%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "clarification of data" is a grammatically correct noun phrase used to describe the process of making data more understandable and accurate. As Ludwig AI confirms, the phrase is usable in written English, particularly in scientific and academic contexts. While its frequency is uncommon, it plays a vital role in ensuring the reliability and validity of research and reporting. When employing this phrase, specificity is key; clearly indicating which data requires clarification prevents ambiguity and enhances communication.

FAQs

What does "clarification of data" mean in research?

In research, "clarification of data" refers to the process of seeking or providing additional information to ensure that the collected, analyzed, and presented data is well-understood and free from ambiguity. This can involve reaching out to original data sources or re-evaluating methodologies.

How is "clarification of data" different from data analysis?

"Clarification of data" focuses on understanding and validating existing data, while data analysis involves processing and interpreting raw data to derive insights. You might need "data interpretation" after obtaining a clarification.

When should I request a "clarification of data"?

Request a "clarification of data" when you encounter inconsistencies, ambiguities, or missing information that prevents accurate interpretation or use of the data. This is especially important in meta-analyses or systematic reviews.

What are some alternatives to "clarification of data"?

Depending on the context, alternatives to "clarification of data" include "data explanation", "data elucidation", or "validation of data". The best choice depends on whether you emphasize understanding, detail, or accuracy.

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Source & Trust

84%

Authority and reliability

4.1/5

Expert rating

Real-world application tested

Most frequent sentences: