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"triangulating data" is a correct and usable phrase in written English.
It means using multiple sources of information to confirm or verify a particular piece of data or information. Here is an example of how it can be used in a sentence: "The researchers were able to accurately predict the population growth by triangulating data from various government agencies, census reports, and social media analytics."
Exact(29)
Another early app had pointed out the best places to burgle houses, by triangulating data about public street lighting, the most expensive houses, and distances from police stations.
This talk will examine multiple layers of gender disparities in science, triangulating data from scientometrics, surveys, and social media to provide a broader perspective on the gendered nature of scientific communication.
This study introduces the chance to determine unconscious reactions of people by triangulating data gathered by several measurement techniques that are directly measured in the field, which can be served as useful inputs for urban planning.
The analysis used a mixed-methods approach, triangulating data from a literature review with information from 33 interviews with experts.
However, by triangulating data sources, we have put significant efforts in preventing such biases as much as possible.
With GPS, an aircraft's location could be continually and precisely updated by triangulating data between the satellites and its location on Earth.
Similar(31)
Tracking includes looking at flight paths and combining social media information to triangulate data points and map individuals' locations.
The situation was eventually rectified when the UNHCR triangulated data with the Mauritanian government to cross-check that its nationals were not involved in camp estimations.
The concise map of triangulated data sources is depicted in Figure 6. Figure 6 Concise map of triangulated data sources.
Qualitative thematic analysis was conducted on each of three triangulated data sources.
At the moment, a simple planar interpolation of the triangulated data is utilized.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com