conflict of data

USAGE SUMMARY

The phrase "conflict of data" is correct and usable in written English.
It can be used when discussing discrepancies or inconsistencies in data sets or information. Example: "The conflict of data between the two studies raises questions about the validity of the findings."

✓ Grammatically correct

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

The missing number of ACKs sometimes is not contributed to the losses of data packets but due to the conflict of data packets and ACKs in the channel in multi-hop wireless networks.

EURASIP Journal on Wireless Communications and Networking

The authors (Cardwell et al, 2008) also ignore a conflict of data that requires resolution.

British Journal of Cancer

Human-verified similar examples from authoritative sources

Similar Expressions

57 human-written examples

But he adds that the report serves a useful purpose by pushing for conflict-of-interest data at earlier stages in the selection process.

Environmental Health Perspectives

U.S. universities probably don't do enough to help foreign postdocs understand the complex issues of intellectual property, conflict of interest, data management, and authorship, agrees Penny Rosser, who directs the international office at the Massachusetts Institute of Technology in Cambridge.

Science Magazine

The intersections of science and policy around biocarbon have been characterised by what Paul Edwards usefully terms "data friction" – overlapping, conflicting sets of data that are intended to cover the same referents, such as native trees cleared by farmers' bulldozers.

The Guardian

However, the effects of vitamin D on the prevention of falls are still a matter of debate due to conflicting interpretation of data.

BioMed Research International

Testing should verify both the logic of the rule itself and also functionality of the rule in the CDS environment, such as redundancy and overlapping rule logic, missing conditions and actions, conflict, and availability of data in EHR systems [ 41].

BMC Medical Informatics and Decision Making

Conflicts of interest: Data analyses were performed by the Laboratoire Santé Environnement Vieillissement (EA2506), which is a university team independent from AG2R La Mondiale.

European Journal of Public Health

The topics in this session included the use and protection of human subjects; use, care, and treatment of laboratory animals; conflict of interest; and data collection and management.

CBE Life Sciences Education

Since customer base and coverage of companies tend to vary across regions, they may also have a distinct geographic bias.7As in the case of conflict event data the character of the data source may also lead to bias.

EPJ Data Science

We apply this approach to two sets of conflict data pertaining to two captive societies of adult rhesus macaques.

Plosone

Expert writing Tips

Best practice

When discussing a "conflict of data", clearly specify the sources and types of data involved to provide context and clarity.

Common error

Avoid vague references to "conflict of data" without specifying the exact datasets or variables that are creating the discrepancy. Always aim to highlight specific areas where the conflict arises.

Linguistic Context

The phrase "conflict of data" functions primarily as a noun phrase, typically serving as the subject or object of a sentence. It identifies a state of disagreement or contradiction within or between data sets. Ludwig provides real-world examples illustrating this usage.

Expression frequency: Rare

Frequent in

Science

60%

News & Media

40%

Formal & Business

0%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

The phrase "conflict of data" refers to discrepancies or contradictions found within or between data sets. Ludwig AI validates the phrase's grammatical correctness and usability, though its frequency is rare. The phrase is most commonly found in science and news contexts. When using this phrase, it's best practice to provide specific details about the data involved to ensure clarity. Related phrases such as "data discrepancy" or "data inconsistency" can serve as alternatives depending on the specific nuance needed.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

data discrepancy

Replaces "conflict" with a more neutral term, focusing on the difference in data points.

data inconsistency

Similar to "data discrepancy", but emphasizes the lack of uniformity within the data.

conflicting datasets

Highlights the datasets themselves as being in opposition.

inconsistent data

Directly describes the data as not being consistent.

contradictory data

Emphasizes the oppositional nature of the data points.

data collision

Suggests that data points interfere with each other.

divergent data

Highlights the fact that the data points move away from a central point.

discordant data

Implies a lack of harmony among the data elements.

data incongruity

Emphasizes that the data elements do not align or fit together.

data variance

Focuses on the differences and variations within the data.

FAQs

How can I use "conflict of data" in a sentence?

You can use "conflict of data" to describe situations where different data sets or sources present contradictory information. For example, "The "conflict of data" between the two studies made it difficult to draw a conclusion."

What are some alternatives to "conflict of data"?

Alternatives include "data discrepancy", "data inconsistency", or "conflicting datasets", depending on the specific nuance you want to convey.

Is it better to say "conflict of data" or "data conflict"?

Both "conflict of data" and "data conflict" are grammatically correct, but "conflict of data" is more commonly used. However, it's useful to see more examples of "data conflict" to understand better its usage.

What does "conflict of data" mean in the context of research?

In research, "conflict of data" refers to discrepancies or contradictions between different sets of data. This can arise from different methodologies, sample populations, or measurement techniques. Identifying and resolving such conflicts is essential for accurate analysis.