external data

USAGE SUMMARY

"external data" is a correct and usable phrase in written English.
It is often used to refer to data which is stored outside of an organization, such as data from public websites, research studies, or databases. For example, "We used external data from a public health report to inform our decision-making process."

✓ Grammatically correct

Science

News & Media

Formal & Business

Human-verified examples from authoritative sources

Exact Expressions

57 human-written examples

Start by clicking Data > Import External Data > Import Data.

WikiHow

We assess both internal and external data to broaden understandings.

Cornell University

Integrating and organizing together internal and external data sources.

Columbia University

External data sources, whether open source or buy/partner solutions, can accelerate development.

Harvard Business Review

KBase maintains an internal reference database that consolidates information from widely used external data repositories.

Nature

We don't sell information, and we don't buy a lot of external data.

Harvard Business Review

But when the external data monitoring committee looked at the interim results, they told Maitland the trial was being stopped.

The Guardian

It draws on external data to make the shading proportionate to population, area, or other factors.

MIT Technology Review

Human-verified similar examples from authoritative sources

Similar Expressions

3 human-written examples

* Not tested on external data-set.

Health and Quality of Life Outcomes

The number and value of external data sets will rise.

Forbes

The company's platform integrates internal and external data using an in-memory database technology.

TechCrunch

Expert writing Tips

Best practice

When using "external data", clearly specify the source to maintain transparency and credibility. Always cite the origin and ensure the data is reliable.

Common error

A common mistake is assuming the accuracy of "external data" without proper validation. Always cross-reference and verify its reliability before integrating it into your analysis or reporting.

Linguistic Context

The phrase "external data" functions primarily as a noun phrase, often serving as the subject or object of a sentence. It is used to identify data originating from sources outside of a particular system or organization. Ludwig confirms its correct usage.

Expression frequency: Very common

Frequent in

Science

30%

News & Media

30%

Formal & Business

20%

Less common in

Academia

10%

Wiki

5%

Encyclopedias

5%

Ludwig's WRAP-UP

In summary, "external data" is a widely used and grammatically sound term referring to data originating from outside an organization or system. Ludwig AI analysis confirms its correct usage. It is crucial to properly cite and validate this type of data to ensure accuracy and maintain credibility. Common contexts include science, news and media, and formal business settings. Related phrases such as "outside data sources" or "third-party data" can provide alternative ways to express the same concept. When writing, remember to specify the source of the "external data" and avoid assuming its accuracy without verification.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

outside data sources

Emphasizes the origin of the data being from external sources.

third-party data

Highlights the data coming from an independent party, often for commercial use.

off-site data

Indicates the data is stored or accessed from a location away from the primary system.

external datasets

Focuses on complete sets of data originating externally.

secondary data

Suggests the data was originally collected for a different purpose.

acquired data

Highlights the act of obtaining data from an external entity.

public data

Specifies that the data is available for anyone to access.

open-source data

Indicates the data is freely available and modifiable.

environmental data

Implies data related to external surroundings or context.

market data

Focuses on data relating to market trends and conditions.

FAQs

How do I properly cite "external data" sources?

When using "external data", always provide a clear and complete citation. This includes the source name, author (if available), publication date, and URL (if applicable). Use a consistent citation style throughout your document.

What are some reliable sources of "external data"?

Reliable sources for "external data" include academic research papers, government databases, reputable news organizations, and established industry reports. Always assess the credibility of the source before using its data.

How can I ensure the accuracy of "external data"?

To ensure the accuracy of "external data", cross-reference it with multiple sources, check for any inconsistencies or errors, and validate it against your own internal data. Consider the source's methodology and potential biases.

What's the difference between "external data" and internal data?

"External data" refers to information originating from outside your organization, while internal data is generated within your own systems. Combining both types of data can provide a more comprehensive understanding, but it's crucial to handle each type appropriately. Combining internal and "external data" will enhance opportunities to gain new insights.