joint data

USAGE SUMMARY

The phrase "joint data" is correct and usable in written English.
It can be used in contexts where data is shared or combined between two or more parties or sources. Example: "The researchers collaborated to analyze the joint data collected from both studies to draw more comprehensive conclusions."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

The individual MS data were assembled into a joint data set including metabolites measured by targeted MS approaches (thiols) and metabolic assays (chlorophyll, starch) (Data S4).

Plosone

Figure 1 Formulation of the correlation weight joint data vector.

EURASIP Journal on Advances in Signal Processing

Joint data sequence estimation and signal frame synchronization:     Repeat steps 2-3 for each time stage.

EURASIP Journal on Advances in Signal Processing

A comparison with TF joint data from the National Spherical Torus Experiment (NSTX) is also given.

Fusion Engineering and Design

The implications for joint data based on this sample design are discussed.

Journal of Nuclear Materials

By using these joint data we derive an estimate for the distribution of the absorbing column density in Sy2s.

Advances in Space Research

So obviously it is necessary to make excellent joint data and channel estimation for initialization of PIC detector.

EURASIP Journal on Wireless Communications and Networking

In the following, we propose a joint data detection and estimation of the ambiguity term to considerably reduce the length of the pilot sequence.

EURASIP Journal on Wireless Communications and Networking

EM-based joint data detector [2] has excellent multiuser efficiency and is robust against errors in the estimation of the channel parameters.

EURASIP Journal on Wireless Communications and Networking

Benefitting from the correlation weight joint data vector, the method does not need to calculate the noise subspace dimension before estimating the InSAR interferometric phase.

EURASIP Journal on Advances in Signal Processing

Based on two different but equivalent signal models, two expectation-maximization algorithm-based iterative schemes for joint data detection and channel and noise variance estimation are proposed.

EURASIP Journal on Wireless Communications and Networking

Expert writing Tips

Best practice

When discussing research involving multiple datasets, use "joint data" to clearly indicate that the data was analyzed collectively rather than separately. For example, "The statistical analysis was performed on the joint data from both trials to increase statistical power."

Common error

Avoid using "joint data" when referring to datasets that are analyzed separately. "Joint data" implies a combined analysis, so ensure that the data is actually treated as a single, unified dataset. For instance, do not say, "We compared the results from each dataset after analyzing the joint data", if each dataset was analyzed independently.

Linguistic Context

The phrase "joint data" functions as a noun phrase, typically acting as the subject or object of a sentence. It refers to a collection of data points that have been combined from multiple sources for analysis. Ludwig confirms its correct and usable nature in English.

Expression frequency: Very common

Frequent in

Science

98%

News & Media

1%

Formal & Business

1%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "joint data" is a grammatically sound and commonly used term, especially within scientific contexts. As confirmed by Ludwig, it refers to a dataset that combines information from multiple sources, enabling comprehensive analyses. While alternatives such as "combined data" or "integrated data" exist, "joint data" effectively conveys the concept of a unified dataset, implying a collective analysis. When writing, ensure the data has been treated as a single entity and the phrase is appropriately employed in formal, scientific documents.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

combined data

Focuses on the action of bringing data together, emphasizing the result of the combination.

pooled data

Implies a merging of data from different sources into a single, larger dataset.

integrated data

Highlights the process of unifying different data sources into a cohesive whole.

merged data

Similar to 'combined data', but suggests a seamless blending of datasets.

aggregated data

Emphasizes the collection and summarization of data into a unified form.

shared data

Focuses on the aspect of data being accessible to multiple users or systems.

collaborative data

Highlights the cooperative aspect of data creation or analysis.

cross-referenced data

Suggests that data points have been linked to each other to find relationships.

unified data

Indicates that data from different sources has been standardized and made consistent.

harmonized data

Implies an attempt to make data consistent and comparable across different datasets.

FAQs

How is "joint data" typically used in scientific writing?

In scientific writing, "joint data" often refers to a dataset created by combining data from multiple sources or experiments. This combined dataset is then analyzed as a single entity to draw conclusions or identify patterns that may not be apparent when analyzing the sources separately.

What are some situations where I might use the term "joint data"?

You might use "joint data" when combining datasets from different clinical trials, merging sensor data from multiple devices, or integrating survey responses from different populations. The key is that the data is treated as a single, unified set for analysis.

Which is a better term, "joint data" or "combined data"?

Both "joint data" and "combined data" are acceptable. "Joint data" emphasizes the unified nature of the dataset, while "combined data" highlights the action of bringing the data together. The best choice depends on the specific context and the emphasis you want to convey.

Is "joint data analysis" different from analyzing individual datasets separately?

Yes, "joint data analysis" treats the combined dataset as a single entity, which can reveal insights not apparent when analyzing each dataset separately. The statistical power of the results is higher than individual data.