merged data

USAGE SUMMARY

"merged data" is correct and can be used in written English.
You can use the phrase when you want to refer to two (or more) sets of data that have been combined together. For example: "After running the analysis, we were able to compare the merged data from the two sources".

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The NDVI classified image of merged data show significant land cover changes.

Advances in Space Research

Informal descriptions can be ambiguous, resulting in inconsistencies in the merged data.

Open Geospatial Data, Software and Standards

The current study merged data collected from the National Oceanic and Atmospheric Administration NOAAA) with 2010 2012 Florida crash data.

IATSS Research

Furthermore, merged data indicated a 1-year prevalence of MOH 1.7%, and a lifetime prevalence of cluster headache of 0.4%.

The Journal of Headache and Pain

The long-term total ozone merged data record is created adjusting the SCIAMACHY and GOME-2 data with the SNN.

EURASIP Journal on Advances in Signal Processing

Taken all these together, however, the improvement seen with selectively merged data sets is relatively modest as compared to the prognostic power generated from the merged data sets composed of all OS single data sets.

Plosone

We use survival prediction based on Cox regression as an assay to measure the added value of merged data sets.

Plosone

Each microarray was scanned three times, then merged into one data, and the merged data were analyzed using the Genepix Pro™ 4.0 software.

Plosone

The merged data were plotted in Origin 8.5.0.

ACS Nano

These findings were consistent for evaluation, validation and merged data.

BMC Anesthesiology

This approach enabled computations of the prevalence of low folate values from the merged data for both measurement procedures, but the merged data could not provide group means.

American Journal of Clinical Nutrition

Expert writing Tips

Best practice

When describing the process of combining datasets, clearly state the source and methodology used to create the "merged data".

Common error

Avoid assuming that "merged data" is inherently homogeneous. Always validate and address potential biases or inconsistencies arising from different data sources.

Linguistic Context

The phrase "merged data" functions primarily as a noun phrase, often serving as the subject or object of a sentence. Ludwig shows it frequently refers to a combined dataset used for analysis or further processing. It indicates that separate data sources have been integrated into a single entity.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Ludwig's WRAP-UP

The phrase "merged data" is a grammatically correct and very common term, predominantly used in scientific and academic contexts. As Ludwig AI confirms, it refers to the combination of two or more datasets into a unified entity, often for the purpose of enhanced analysis or broader insights. While synonymous with terms like "combined data" or "integrated data", it’s crucial to validate the homogeneity and address potential biases within the "merged data". Best practice includes clearly stating the source and methodology used for merging, while common errors involve assuming inherent uniformity without proper validation.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

integrated data

This alternative emphasizes the combination of data into a unified system.

combined data

This alternative highlights the act of joining data sets together.

consolidated data

This suggests that the data has been unified and streamlined.

unified data

This term directly refers to data that have been brought together into a single entity.

aggregated data

This implies collecting and summarizing data from multiple sources.

pooled data

This indicates that data sets have been combined for analysis.

harmonized data

This suggests the data have been adjusted to ensure compatibility and consistency.

linked data

This emphasizes the connections and relationships between different data sets.

amalgamated data

This suggests a blending of different data elements.

synthesized data

This indicates that the data has been combined and transformed into a new form.

FAQs

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

You can use "merged data" to describe a dataset that has been created by combining two or more separate datasets. For example, "The analysis was performed on the "merged data" from the two studies".

What is the difference between "merged data" and "combined data"?

"Combined data" and "merged data" are often used interchangeably, but "merged data" may imply a more structured and integrated dataset resulting from the combination.

What are some common challenges when working with "merged data"?

Common challenges include handling inconsistencies in data formats, addressing biases from different sources, and ensuring data integrity after the merging process. It's important to validate the "merged data" to ensure its reliability.

Is it always beneficial to use "merged data" instead of individual datasets?

Not always. While "merged data" can provide a larger sample size and broader perspective, it's crucial to assess whether the combination introduces confounding factors or reduces the quality of the data. Consider whether analyzing individual datasets separately might yield more accurate insights before creating "merged data".