laborious data

USAGE SUMMARY

The phrase "laborious data" is not commonly used in written English and may not convey a clear meaning.
It could be used in contexts where one is referring to data that requires a lot of effort to process or analyze, but it is not a standard expression. Example: "The research team faced challenges due to the laborious data collection process, which took much longer than anticipated."

Science

News & Media

Human-verified examples from authoritative sources

Exact Expressions

8 human-written examples

The major disadvantages of this technique are the poor, low-level sensitivity and the laborious data analysis.

Human Immunology

Moreover, computational analyses can be utilized to minimize experimental costs and reduce time for manually laborious data processing.

BioMed Research International

This ratio was estimated using a clonal Sanger sequencing approach which is time-consuming and requires laborious data analysis.

BMC Genomics

As Tom Nichols recently wrote: "[A]n fMRI study requires hundreds of man-hours, costly scanner time, and laborious data analysis to process gigabytes of image data.

F1000Research

By comparison, the BC GN Registry is unique in that it is integrated into the existing provincial CKD health delivery infrastructure and uses linkages to laboratory and administrative databases to minimize laborious data entry, improving data quality and quantity.

BMC Nephrology

Although this method was successfully used for taxonomy characterization at the species level, it was a time-consuming and expensive [ 5] process that required the application of exceedingly laborious data analyses.

BMC Genomics

Human-verified similar examples from authoritative sources

Similar Expressions

52 human-written examples

Further, the ability to link administrative datasets provides the opportunity to capture detailed outcome information as shown in Figure  1 without the need for laborious prospective data entry.

BMC Nephrology

This reduces laborious manual data entry, thereby broadening the geographic region from which patients can be recruited.

BMC Nephrology

(334) Limitations such as a complicated kinetics with the difficult-to-predict duration of transport for some compounds, 20) a tedious separation, a laborious spectroscopic data analysis that is due to the light scattering if the separation step is omitted, and low stability of some preparations 340) restrict the use of liposomes in routine experiments with increased throughput.

Chemical Reviews

An excellent method to measure flux is by using tandem-labeled mCherry-EGFP-LC3 (C-G-LC3) microscopy to count the number of autophagosomes and autolysosomes., The best techniques for high throughput, single-cell analysis of autophagy rely on microscopy and are therefore laborious and/or data intensive.

Autophagy

It is, however, laborious to collect data to explicitly model stochastic nature of link capacities.

Procedia - Social and Behavioral Sciences

Expert writing Tips

Best practice

When using the phrase "laborious data", ensure the context clearly indicates the effort, time, or difficulty involved in processing or analyzing the data. Consider using more specific alternatives like "time-consuming data" or "complex data" for greater clarity.

Common error

Avoid using "laborious data" when simpler terms like "complex data" or "extensive data" would suffice. The term is most appropriate when emphasizing the strenuous effort required, not merely the size or complexity of the data.

Linguistic Context

The phrase "laborious data" functions as a noun phrase where the adjective "laborious" modifies the noun "data". It describes a specific attribute of the data, emphasizing the significant effort, time, and resources required for its processing or analysis. Ludwig AI suggests it is not a standard expression.

Expression frequency: Uncommon

Frequent in

Science

70%

News & Media

20%

Formal & Business

10%

Less common in

Academia

0%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, the phrase "laborious data" is used to describe data that requires significant effort and time for processing and analysis. While grammatically acceptable, Ludwig AI suggests that it's not a commonly used expression and might benefit from more specific alternatives such as "tedious data" or "time-consuming data" for clarity. Its usage is most frequent in scientific contexts, with occasional appearances in news and business. When using the phrase, ensure the context clearly warrants the emphasis on the strenuous effort involved. Overuse in general contexts should be avoided.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

tedious data

Replaces "laborious" with "tedious", emphasizing the monotonous nature of the data.

arduous data

Uses "arduous" to highlight the difficulty and strenuous effort involved with the data.

time-consuming data

Focuses specifically on the extensive time required to handle the data.

data requiring significant effort

Rephrases to emphasize the substantial effort needed for the data.

data demanding careful attention

Highlights the need for meticulousness when dealing with the data.

complex data to process

Shifts focus to the complexity that makes the data laborious.

data with a steep learning curve

Emphasizes the initial difficulty in understanding and using the data.

challenging data set

Focuses on the challenging nature of the entire dataset.

data intensive work

Highlights the amount of data and resources required.

cumbersome data to handle

Replaces "laborious" with "cumbersome", emphasizing the difficulty to handle large amounts of data.

FAQs

What does "laborious data" mean?

The phrase "laborious data" describes data that requires significant effort, time, and meticulous work to process, analyze, or interpret.

What are some alternatives to "laborious data"?

You can use alternatives such as "tedious data", "arduous data", "time-consuming data", or "complex data" depending on the specific context.

In what contexts is it appropriate to use "laborious data"?

The term "laborious data" is best used in contexts where the effort involved in handling the data is a key point, such as describing a research process or a data entry task. It emphasizes that the process is not only complex but also requires considerable manual effort.

How can I avoid making my data processing less "laborious"?

Employing automation tools, standardizing data formats, and utilizing efficient algorithms can significantly reduce the effort required to process data. Consider breaking down large datasets into smaller, more manageable chunks to streamline analysis.