extensive data collection

USAGE SUMMARY

The phrase "extensive data collection" is correct and usable in written English.
It can be used when referring to the process of gathering a large amount of data for analysis or research purposes. Example: "The study was based on extensive data collection from various sources to ensure accuracy and reliability."

✓ Grammatically correct

Science

Academia

News & Media

Human-verified examples from authoritative sources

Exact Expressions

60 human-written examples

There was extensive data collection in the DAT, including individual interviews, focus groups, artifacts collected, and records from meetings.

International Journal of STEM Education

This includes extensive data collection, self-evaluation and analysis.

Harvard University

An extensive data collection process was conducted for this study.

Journal of Safety Research

Government must respond, and the National Security Agency's extensive data collection enables law enforcement to keep up with such crimes.

The New York Times

A study was therefore initiated, including extensive data collection (logging and coring of the shale) and subsequent core testing, data analysis and evaluation of field experience.

Journal of Petroleum Science and Engineering

We had worked on that rule for over eight years through very extensive data collection, both from industry and from our own-data collection services.

Yale University

The cause, extent, and general nature of each of these spills are unique, yet the extensive data collection efforts that ensued reveals considerable commonality.

Coal Combustion Products (CCP's) Characteristics, Utilization and Beneficiation

Various predictive models of microbial behavior have been created and extensive data collection has been done by numerous private or public laboratories.

International Journal of Food Microbiology

Most new advanced ships have extensive data collection systems to be used for continuous monitoring of engine and hull performance, for voyage performance evaluation etc.

Marine Structures

Extensive data collection resulted in a database of 107 constructed wetlands that was used to evaluate certain trends and treatment performances.

Ecological Engineering

H.M.O.'s can handle demands for extensive data collection, typically by steering patients to a small roster of doctors and by using "gatekeepers" to intervene between patients and specialists.

The New York Times

Expert writing Tips

Best practice

When describing research methodology, specify the types of data collected and the rationale behind the "extensive data collection" to enhance clarity and credibility.

Common error

Avoid using "extensive data collection" as a generic descriptor. Instead, quantify the data (e.g., sample size, variables measured) or highlight the breadth of sources to substantiate the claim.

Linguistic Context

The phrase "extensive data collection" functions primarily as a noun phrase, often serving as the subject or object of a sentence. Ludwig confirms its correct and usable status in written English.

Expression frequency: Very common

Frequent in

Science

45%

Academia

25%

News & Media

15%

Less common in

Formal & Business

10%

Encyclopedias

0%

Wiki

0%

Ludwig's WRAP-UP

In summary, "extensive data collection" is a frequently used and grammatically sound noun phrase, as confirmed by Ludwig, denoting a process of gathering a significant amount of information. Predominantly found in scientific and academic contexts, this phrase serves to describe research methodologies or analytical processes requiring thoroughness and rigor. While its usage is generally appropriate, it is crucial to ensure that the 'extensiveness' is justified with specific details about the data collected. Alternatives such as "comprehensive data gathering" or "thorough data acquisition" can be considered based on the specific nuances of the context.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

comprehensive data gathering

Replaces 'collection' with 'gathering', implying a thorough and complete process of obtaining data.

thorough data acquisition

Uses 'acquisition' to emphasize the act of obtaining data in a detailed and methodical manner.

large-scale data compilation

Focuses on the compilation aspect, suggesting the data is being assembled from various sources on a large scale.

in-depth data analysis

Emphasizes the depth and detail of the data being collected and subsequently analyzed.

detailed information gathering

Highlights the level of detail in the information being gathered, rather than just the volume of data.

broad spectrum data mining

Implies a wide range of data sources are being explored to extract relevant information.

exhaustive data research

Indicates a complete and thorough investigation involving a significant amount of data.

wide-ranging data survey

Suggests a broad overview of data is being collected across a diverse set of parameters.

substantial data accumulation

Highlights the build-up of a significant amount of data over time.

considerable data aggregation

Focuses on the process of combining data from multiple sources into a unified dataset.

FAQs

How can I use "extensive data collection" in a sentence?

You can use "extensive data collection" to describe a research process, for example: "The study relied on "extensive data collection" to ensure accurate results."

What are some alternatives to "extensive data collection"?

Some alternatives include "comprehensive data gathering", "thorough data acquisition", or "large-scale data compilation", depending on the specific context.

When is "extensive data collection" necessary?

"Extensive data collection" is often necessary when studying complex phenomena, establishing robust statistical power, or ensuring the generalizability of findings across diverse populations.

What are the challenges associated with "extensive data collection"?

Challenges include the high costs of data acquisition, the risk of data overload, the potential for biases in data collection methods, and the difficulties in managing and analyzing large datasets.